2022-05-18T03:42:34.6815307Z Requested labels: linux.2xlarge
2022-05-18T03:42:34.6815405Z Job defined at: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/master
2022-05-18T03:42:34.6815431Z Waiting for a runner to pick up this job...
2022-05-18T03:42:36.5765002Z Job is about to start running on the runner: i-016381421bd74e438 (repository)
2022-05-18T03:42:51.5313255Z Current runner version: '2.291.1'
2022-05-18T03:42:51.5318972Z Runner name: 'i-016381421bd74e438'
2022-05-18T03:42:51.5319588Z Runner group name: 'Default'
2022-05-18T03:42:51.5320171Z Machine name: 'ip-10-0-5-150'
2022-05-18T03:42:51.5322228Z ##[group]GITHUB_TOKEN Permissions
2022-05-18T03:42:51.5322912Z Actions: write
2022-05-18T03:42:51.5323239Z Checks: write
2022-05-18T03:42:51.5323510Z Contents: write
2022-05-18T03:42:51.5323833Z Deployments: write
2022-05-18T03:42:51.5324184Z Discussions: write
2022-05-18T03:42:51.5324460Z Issues: write
2022-05-18T03:42:51.5324770Z Metadata: read
2022-05-18T03:42:51.5325110Z Packages: write
2022-05-18T03:42:51.5325387Z Pages: write
2022-05-18T03:42:51.5325733Z PullRequests: write
2022-05-18T03:42:51.5326106Z RepositoryProjects: write
2022-05-18T03:42:51.5326418Z SecurityEvents: write
2022-05-18T03:42:51.5326745Z Statuses: write
2022-05-18T03:42:51.5327052Z ##[endgroup]
2022-05-18T03:42:51.5330121Z Secret source: Actions
2022-05-18T03:42:51.5330766Z Prepare workflow directory
2022-05-18T03:42:51.8161414Z Prepare all required actions
2022-05-18T03:42:51.8322568Z Getting action download info
2022-05-18T03:42:51.9986785Z Download action repository 'pytorch/pytorch@master' (SHA:acf7136a525422459d97d5f993e30afdff18b1b9)
2022-05-18T03:42:54.2894468Z Download action repository 'nick-fields/retry@71062288b76e2b6214ebde0e673ce0de1755740a' (SHA:71062288b76e2b6214ebde0e673ce0de1755740a)
2022-05-18T03:42:54.3854666Z Download action repository 'seemethere/upload-artifact-s3@v4' (SHA:c1c31f57581a11fe6d4d052da6276adb2df71f1e)
2022-05-18T03:42:54.6116084Z Getting action download info
2022-05-18T03:42:54.7454745Z Download action repository 'malfet/checkout@silent-checkout' (SHA:f63e9e15406be6060f159846cd2e098f759c5246)
2022-05-18T03:42:54.9054077Z Getting action download info
2022-05-18T03:42:55.1217469Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@master
2022-05-18T03:42:55.1217777Z with:
2022-05-18T03:42:55.1217994Z   submodules: recursive
2022-05-18T03:42:55.1218219Z   fetch-depth: 0
2022-05-18T03:42:55.1218431Z env:
2022-05-18T03:42:55.1218622Z   IN_CI: 1
2022-05-18T03:42:55.1218816Z   IS_GHA: 1
2022-05-18T03:42:55.1219016Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:42:55.1219260Z ##[endgroup]
2022-05-18T03:42:55.1430791Z ##[group]Run echo "${GITHUB_WORKSPACE}"
2022-05-18T03:42:55.1431106Z echo "${GITHUB_WORKSPACE}"
2022-05-18T03:42:55.1431361Z if [ -z "${NO_SUDO}" ]; then
2022-05-18T03:42:55.1431614Z   sudo rm -rf "${GITHUB_WORKSPACE}"
2022-05-18T03:42:55.1431830Z else
2022-05-18T03:42:55.1432054Z   rm -rf "${GITHUB_WORKSPACE}"
2022-05-18T03:42:55.1432271Z fi
2022-05-18T03:42:55.1432474Z mkdir "${GITHUB_WORKSPACE}"
2022-05-18T03:42:55.1448087Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T03:42:55.1448355Z env:
2022-05-18T03:42:55.1448533Z   IN_CI: 1
2022-05-18T03:42:55.1448725Z   IS_GHA: 1
2022-05-18T03:42:55.1448932Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:42:55.1449139Z   NO_SUDO: 
2022-05-18T03:42:55.1449337Z ##[endgroup]
2022-05-18T03:42:55.1610810Z /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-05-18T03:42:58.9271018Z ##[group]Run malfet/checkout@silent-checkout
2022-05-18T03:42:58.9271260Z with:
2022-05-18T03:42:58.9271460Z   ref: 3b2375291aab7b48442f2e6fb1ef66cebc761e24
2022-05-18T03:42:58.9271654Z   fetch-depth: 0
2022-05-18T03:42:58.9271841Z   submodules: recursive
2022-05-18T03:42:58.9272028Z   quiet-checkout: true
2022-05-18T03:42:58.9272213Z   repository: pytorch/pytorch
2022-05-18T03:42:58.9272572Z   token: ***
2022-05-18T03:42:58.9272742Z   ssh-strict: true
2022-05-18T03:42:58.9272932Z   persist-credentials: true
2022-05-18T03:42:58.9273108Z   clean: true
2022-05-18T03:42:58.9273270Z   lfs: false
2022-05-18T03:42:58.9273459Z   set-safe-directory: true
2022-05-18T03:42:58.9273624Z env:
2022-05-18T03:42:58.9273776Z   IN_CI: 1
2022-05-18T03:42:58.9273934Z   IS_GHA: 1
2022-05-18T03:42:58.9274098Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:42:58.9274281Z ##[endgroup]
2022-05-18T03:42:59.0387160Z Syncing repository: pytorch/pytorch
2022-05-18T03:42:59.0388549Z ##[group]Getting Git version info
2022-05-18T03:42:59.0389008Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2022-05-18T03:42:59.0389577Z [command]/usr/bin/git version
2022-05-18T03:42:59.0389803Z git version 2.32.0
2022-05-18T03:42:59.0390440Z ##[endgroup]
2022-05-18T03:42:59.0404688Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/24b25a68-8881-463f-84aa-74c7d9a0384a' before making global git config changes
2022-05-18T03:42:59.0405115Z Adding repository directory to the temporary git global config as a safe directory
2022-05-18T03:42:59.0410521Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-05-18T03:42:59.0449113Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2022-05-18T03:42:59.0452939Z ##[group]Initializing the repository
2022-05-18T03:42:59.0457400Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-05-18T03:42:59.0574958Z hint: Using 'master' as the name for the initial branch. This default branch name
2022-05-18T03:42:59.0575375Z hint: is subject to change. To configure the initial branch name to use in all
2022-05-18T03:42:59.0575698Z hint: of your new repositories, which will suppress this warning, call:
2022-05-18T03:42:59.0576123Z hint: 
2022-05-18T03:42:59.0576404Z hint: 	git config --global init.defaultBranch <name>
2022-05-18T03:42:59.0576606Z hint: 
2022-05-18T03:42:59.0576896Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2022-05-18T03:42:59.0577386Z hint: 'development'. The just-created branch can be renamed via this command:
2022-05-18T03:42:59.0577741Z hint: 
2022-05-18T03:42:59.0578118Z hint: 	git branch -m <name>
2022-05-18T03:42:59.0578491Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2022-05-18T03:42:59.0586635Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2022-05-18T03:42:59.0618401Z ##[endgroup]
2022-05-18T03:42:59.0618766Z ##[group]Disabling automatic garbage collection
2022-05-18T03:42:59.0622913Z [command]/usr/bin/git config --local gc.auto 0
2022-05-18T03:42:59.0650036Z ##[endgroup]
2022-05-18T03:42:59.0650365Z ##[group]Setting up auth
2022-05-18T03:42:59.0658234Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2022-05-18T03:42:59.0687517Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :
2022-05-18T03:42:59.0934408Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2022-05-18T03:42:59.0968471Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :
2022-05-18T03:42:59.1228564Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2022-05-18T03:42:59.1272955Z ##[endgroup]
2022-05-18T03:42:59.1273319Z ##[group]Fetching the repository
2022-05-18T03:42:59.1279295Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --quiet --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2022-05-18T03:43:41.1610953Z [command]/usr/bin/git rev-parse --verify --quiet 3b2375291aab7b48442f2e6fb1ef66cebc761e24^{object}
2022-05-18T03:43:41.1635728Z 3b2375291aab7b48442f2e6fb1ef66cebc761e24
2022-05-18T03:43:41.1640207Z ##[endgroup]
2022-05-18T03:43:41.1641620Z ##[group]Determining the checkout info
2022-05-18T03:43:41.1642158Z ##[endgroup]
2022-05-18T03:43:41.1642709Z ##[group]Checking out the ref
2022-05-18T03:43:41.1646029Z [command]/usr/bin/git checkout --quiet --force 3b2375291aab7b48442f2e6fb1ef66cebc761e24
2022-05-18T03:43:42.3255197Z ##[endgroup]
2022-05-18T03:43:42.3255802Z ##[group]Setting up auth for fetching submodules
2022-05-18T03:43:42.3261240Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2022-05-18T03:43:42.3312576Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2022-05-18T03:43:42.3343010Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2022-05-18T03:43:42.3370086Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2022-05-18T03:43:42.3395234Z ##[endgroup]
2022-05-18T03:43:42.3395568Z ##[group]Fetching submodules
2022-05-18T03:43:42.3400185Z [command]/usr/bin/git submodule sync --recursive
2022-05-18T03:43:42.3660983Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2022-05-18T03:43:42.3910419Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2022-05-18T03:43:42.3912176Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2022-05-18T03:43:42.3913291Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2022-05-18T03:43:42.3915357Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2022-05-18T03:43:42.3917719Z Submodule 'third_party/QNNPACK' (https://github.com/pytorch/QNNPACK) registered for path 'third_party/QNNPACK'
2022-05-18T03:43:42.3920192Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2022-05-18T03:43:42.3922899Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2022-05-18T03:43:42.3925451Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2022-05-18T03:43:42.3928060Z Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub'
2022-05-18T03:43:42.3931013Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2022-05-18T03:43:42.3934204Z Submodule 'third_party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'third_party/eigen'
2022-05-18T03:43:42.3937195Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2022-05-18T03:43:42.3940578Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2022-05-18T03:43:42.3943668Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2022-05-18T03:43:42.3946803Z Submodule 'third_party/foxi' (https://github.com/houseroad/foxi.git) registered for path 'third_party/foxi'
2022-05-18T03:43:42.3950300Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2022-05-18T03:43:42.3953697Z Submodule 'third_party/gloo' (https://github.com/facebookincubator/gloo) registered for path 'third_party/gloo'
2022-05-18T03:43:42.3957330Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2022-05-18T03:43:42.3961341Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2022-05-18T03:43:42.3964982Z Submodule 'third_party/ios-cmake' (https://github.com/Yangqing/ios-cmake.git) registered for path 'third_party/ios-cmake'
2022-05-18T03:43:42.3968789Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2022-05-18T03:43:42.3973036Z Submodule 'third_party/nccl/nccl' (https://github.com/NVIDIA/nccl) registered for path 'third_party/nccl/nccl'
2022-05-18T03:43:42.3977109Z Submodule 'third_party/neon2sse' (https://github.com/intel/ARM_NEON_2_x86_SSE.git) registered for path 'third_party/neon2sse'
2022-05-18T03:43:42.3981365Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2022-05-18T03:43:42.3985690Z Submodule 'third_party/onnx-tensorrt' (https://github.com/onnx/onnx-tensorrt) registered for path 'third_party/onnx-tensorrt'
2022-05-18T03:43:42.3990068Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2022-05-18T03:43:42.3994550Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2022-05-18T03:43:42.3999260Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2022-05-18T03:43:42.4003930Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2022-05-18T03:43:42.4008707Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2022-05-18T03:43:42.4014100Z Submodule 'third_party/python-enum' (https://github.com/PeachPy/enum34.git) registered for path 'third_party/python-enum'
2022-05-18T03:43:42.4019020Z Submodule 'third_party/python-peachpy' (https://github.com/Maratyszcza/PeachPy.git) registered for path 'third_party/python-peachpy'
2022-05-18T03:43:42.4024229Z Submodule 'third_party/python-six' (https://github.com/benjaminp/six.git) registered for path 'third_party/python-six'
2022-05-18T03:43:42.4029319Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2022-05-18T03:43:42.4034634Z Submodule 'third_party/tbb' (https://github.com/01org/tbb) registered for path 'third_party/tbb'
2022-05-18T03:43:42.4040064Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2022-05-18T03:43:42.4045650Z Submodule 'third_party/zstd' (https://github.com/facebook/zstd.git) registered for path 'third_party/zstd'
2022-05-18T03:43:42.4098286Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2022-05-18T03:43:42.6243799Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2022-05-18T03:43:42.7946407Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2022-05-18T03:43:42.9757640Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2022-05-18T03:43:43.2401597Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/QNNPACK'...
2022-05-18T03:43:43.4696838Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2022-05-18T03:43:47.8643231Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2022-05-18T03:43:48.1821750Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2022-05-18T03:43:48.6010407Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cub'...
2022-05-18T03:43:49.8097174Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2022-05-18T03:43:50.7419692Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/eigen'...
2022-05-18T03:43:54.7818723Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2022-05-18T03:43:55.2640884Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2022-05-18T03:43:56.1655139Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2022-05-18T03:43:57.1148754Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/foxi'...
2022-05-18T03:43:57.2806141Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2022-05-18T03:43:57.6613162Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2022-05-18T03:43:57.9110788Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2022-05-18T03:43:58.7609280Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2022-05-18T03:43:59.0739863Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ios-cmake'...
2022-05-18T03:43:59.2342647Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2022-05-18T03:44:00.3883486Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nccl/nccl'...
2022-05-18T03:44:00.7210333Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/neon2sse'...
2022-05-18T03:44:01.1126179Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2022-05-18T03:44:02.3234249Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx-tensorrt'...
2022-05-18T03:44:02.6708446Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2022-05-18T03:44:02.8633284Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'...
2022-05-18T03:44:06.9912562Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2022-05-18T03:44:07.1563834Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2022-05-18T03:44:07.3393250Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
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2022-05-18T03:44:38.6380092Z ##[endgroup]
2022-05-18T03:44:38.6380486Z ##[group]Persisting credentials for submodules
2022-05-18T03:44:38.6387447Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :
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2022-05-18T03:44:38.6939309Z Entering 'third_party/cudnn_frontend'
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2022-05-18T03:44:38.7105027Z Entering 'third_party/fbgemm/third_party/googletest'
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2022-05-18T03:44:38.7171045Z Entering 'third_party/fmt'
2022-05-18T03:44:38.7202890Z Entering 'third_party/foxi'
2022-05-18T03:44:38.7234620Z Entering 'third_party/gemmlowp/gemmlowp'
2022-05-18T03:44:38.7266608Z Entering 'third_party/gloo'
2022-05-18T03:44:38.7299359Z Entering 'third_party/googletest'
2022-05-18T03:44:38.7330862Z Entering 'third_party/ideep'
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2022-05-18T03:44:38.7432201Z Entering 'third_party/ios-cmake'
2022-05-18T03:44:38.7464108Z Entering 'third_party/kineto'
2022-05-18T03:44:38.7497776Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-05-18T03:44:38.7529029Z Entering 'third_party/kineto/libkineto/third_party/googletest'
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2022-05-18T03:44:38.7839036Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-05-18T03:44:38.7871524Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-05-18T03:44:38.7907012Z Entering 'third_party/pocketfft'
2022-05-18T03:44:38.7939151Z Entering 'third_party/protobuf'
2022-05-18T03:44:38.7973148Z Entering 'third_party/protobuf/third_party/benchmark'
2022-05-18T03:44:38.8004849Z Entering 'third_party/protobuf/third_party/googletest'
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2022-05-18T03:44:38.8101871Z Entering 'third_party/pybind11'
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2022-05-18T03:44:38.8165458Z Entering 'third_party/python-peachpy'
2022-05-18T03:44:38.8197754Z Entering 'third_party/python-six'
2022-05-18T03:44:38.8229499Z Entering 'third_party/sleef'
2022-05-18T03:44:38.8261024Z Entering 'third_party/tbb'
2022-05-18T03:44:38.8295917Z Entering 'third_party/tensorpipe'
2022-05-18T03:44:38.8328134Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-05-18T03:44:38.8360027Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-05-18T03:44:38.8391132Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-05-18T03:44:38.8423489Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-05-18T03:44:38.8454354Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-05-18T03:44:38.8488984Z Entering 'third_party/zstd'
2022-05-18T03:44:38.8533658Z [command]/usr/bin/git submodule foreach --recursive git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url
2022-05-18T03:44:38.8782865Z Entering 'android/libs/fbjni'
2022-05-18T03:44:38.8812086Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2022-05-18T03:44:38.8825722Z Entering 'third_party/FP16'
2022-05-18T03:44:38.8857345Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2022-05-18T03:44:38.8870403Z Entering 'third_party/FXdiv'
2022-05-18T03:44:38.8900868Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2022-05-18T03:44:38.8914647Z Entering 'third_party/NNPACK'
2022-05-18T03:44:38.8945869Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2022-05-18T03:44:38.8959548Z Entering 'third_party/QNNPACK'
2022-05-18T03:44:38.8990459Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/QNNPACK/config	remote.origin.url
2022-05-18T03:44:38.9004770Z Entering 'third_party/XNNPACK'
2022-05-18T03:44:38.9035457Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2022-05-18T03:44:38.9060090Z Entering 'third_party/benchmark'
2022-05-18T03:44:38.9091548Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2022-05-18T03:44:38.9106039Z Entering 'third_party/cpuinfo'
2022-05-18T03:44:38.9138827Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2022-05-18T03:44:38.9153562Z Entering 'third_party/cub'
2022-05-18T03:44:38.9184457Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cub/config	remote.origin.url
2022-05-18T03:44:38.9198322Z Entering 'third_party/cudnn_frontend'
2022-05-18T03:44:38.9228860Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2022-05-18T03:44:38.9247765Z Entering 'third_party/eigen'
2022-05-18T03:44:38.9279288Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/eigen/config	remote.origin.url
2022-05-18T03:44:38.9294981Z Entering 'third_party/fbgemm'
2022-05-18T03:44:38.9326587Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2022-05-18T03:44:38.9341147Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-05-18T03:44:38.9372279Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/asmjit/config	remote.origin.url
2022-05-18T03:44:38.9385965Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-05-18T03:44:38.9416552Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/cpuinfo/config	remote.origin.url
2022-05-18T03:44:38.9430485Z Entering 'third_party/fbgemm/third_party/googletest'
2022-05-18T03:44:38.9461433Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/googletest/config	remote.origin.url
2022-05-18T03:44:38.9475938Z Entering 'third_party/flatbuffers'
2022-05-18T03:44:38.9506881Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config	remote.origin.url
2022-05-18T03:44:38.9521753Z Entering 'third_party/fmt'
2022-05-18T03:44:38.9552198Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config	remote.origin.url
2022-05-18T03:44:38.9565964Z Entering 'third_party/foxi'
2022-05-18T03:44:38.9595541Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/foxi/config	remote.origin.url
2022-05-18T03:44:38.9608772Z Entering 'third_party/gemmlowp/gemmlowp'
2022-05-18T03:44:38.9638629Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config	remote.origin.url
2022-05-18T03:44:38.9653473Z Entering 'third_party/gloo'
2022-05-18T03:44:38.9682117Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config	remote.origin.url
2022-05-18T03:44:38.9696136Z Entering 'third_party/googletest'
2022-05-18T03:44:38.9725623Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config	remote.origin.url
2022-05-18T03:44:38.9741658Z Entering 'third_party/ideep'
2022-05-18T03:44:38.9770723Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config	remote.origin.url
2022-05-18T03:44:38.9783341Z Entering 'third_party/ideep/mkl-dnn'
2022-05-18T03:44:38.9813611Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config	remote.origin.url
2022-05-18T03:44:38.9828621Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-05-18T03:44:38.9858691Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/modules/third_party/oneDNN/config	remote.origin.url
2022-05-18T03:44:38.9877150Z Entering 'third_party/ios-cmake'
2022-05-18T03:44:38.9908712Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ios-cmake/config	remote.origin.url
2022-05-18T03:44:38.9921525Z Entering 'third_party/kineto'
2022-05-18T03:44:38.9951644Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config	remote.origin.url
2022-05-18T03:44:38.9964963Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-05-18T03:44:38.9994656Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config	remote.origin.url
2022-05-18T03:44:39.0008445Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-05-18T03:44:39.0038495Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config	remote.origin.url
2022-05-18T03:44:39.0053613Z Entering 'third_party/nccl/nccl'
2022-05-18T03:44:39.0083268Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/nccl/nccl/config	remote.origin.url
2022-05-18T03:44:39.0097397Z Entering 'third_party/neon2sse'
2022-05-18T03:44:39.0127456Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/neon2sse/config	remote.origin.url
2022-05-18T03:44:39.0141199Z Entering 'third_party/onnx'
2022-05-18T03:44:39.0171757Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config	remote.origin.url
2022-05-18T03:44:39.0194409Z Entering 'third_party/onnx/third_party/benchmark'
2022-05-18T03:44:39.0225385Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/benchmark/config	remote.origin.url
2022-05-18T03:44:39.0239473Z Entering 'third_party/onnx/third_party/pybind11'
2022-05-18T03:44:39.0269523Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
2022-05-18T03:44:39.0284635Z Entering 'third_party/onnx-tensorrt'
2022-05-18T03:44:39.0315583Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/config	remote.origin.url
2022-05-18T03:44:39.0328408Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-05-18T03:44:39.0357954Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/config	remote.origin.url
2022-05-18T03:44:39.0375982Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-05-18T03:44:39.0406817Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/modules/third_party/benchmark/config	remote.origin.url
2022-05-18T03:44:39.0420566Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-05-18T03:44:39.0452601Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
2022-05-18T03:44:39.0465930Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-05-18T03:44:39.0497310Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
2022-05-18T03:44:39.0514770Z Entering 'third_party/pocketfft'
2022-05-18T03:44:39.0545262Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config	remote.origin.url
2022-05-18T03:44:39.0558992Z Entering 'third_party/protobuf'
2022-05-18T03:44:39.0590565Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config	remote.origin.url
2022-05-18T03:44:39.0607243Z Entering 'third_party/protobuf/third_party/benchmark'
2022-05-18T03:44:39.0637989Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config	remote.origin.url
2022-05-18T03:44:39.0651154Z Entering 'third_party/protobuf/third_party/googletest'
2022-05-18T03:44:39.0682152Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config	remote.origin.url
2022-05-18T03:44:39.0698184Z Entering 'third_party/psimd'
2022-05-18T03:44:39.0732705Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
2022-05-18T03:44:39.0746532Z Entering 'third_party/pthreadpool'
2022-05-18T03:44:39.0777604Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config	remote.origin.url
2022-05-18T03:44:39.0790912Z Entering 'third_party/pybind11'
2022-05-18T03:44:39.0821018Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config	remote.origin.url
2022-05-18T03:44:39.0835265Z Entering 'third_party/python-enum'
2022-05-18T03:44:39.0867808Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-enum/config	remote.origin.url
2022-05-18T03:44:39.0881010Z Entering 'third_party/python-peachpy'
2022-05-18T03:44:39.0912242Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config	remote.origin.url
2022-05-18T03:44:39.0926655Z Entering 'third_party/python-six'
2022-05-18T03:44:39.0957145Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-six/config	remote.origin.url
2022-05-18T03:44:39.0971158Z Entering 'third_party/sleef'
2022-05-18T03:44:39.1003196Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config	remote.origin.url
2022-05-18T03:44:39.1017047Z Entering 'third_party/tbb'
2022-05-18T03:44:39.1047639Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tbb/config	remote.origin.url
2022-05-18T03:44:39.1062534Z Entering 'third_party/tensorpipe'
2022-05-18T03:44:39.1094767Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config	remote.origin.url
2022-05-18T03:44:39.1107598Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-05-18T03:44:39.1138601Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config	remote.origin.url
2022-05-18T03:44:39.1152084Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-05-18T03:44:39.1182260Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config	remote.origin.url
2022-05-18T03:44:39.1195383Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-05-18T03:44:39.1225715Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
2022-05-18T03:44:39.1239192Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-05-18T03:44:39.1269935Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
2022-05-18T03:44:39.1282339Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-05-18T03:44:39.1312960Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
2022-05-18T03:44:39.1329401Z Entering 'third_party/zstd'
2022-05-18T03:44:39.1359161Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/zstd/config	remote.origin.url
2022-05-18T03:44:39.2000337Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2022-05-18T03:44:39.2262960Z Entering 'android/libs/fbjni'
2022-05-18T03:44:39.2296714Z Entering 'third_party/FP16'
2022-05-18T03:44:39.2329731Z Entering 'third_party/FXdiv'
2022-05-18T03:44:39.2363788Z Entering 'third_party/NNPACK'
2022-05-18T03:44:39.2397379Z Entering 'third_party/QNNPACK'
2022-05-18T03:44:39.2461774Z Entering 'third_party/XNNPACK'
2022-05-18T03:44:39.2505839Z Entering 'third_party/benchmark'
2022-05-18T03:44:39.2538949Z Entering 'third_party/cpuinfo'
2022-05-18T03:44:39.2573162Z Entering 'third_party/cub'
2022-05-18T03:44:39.2605640Z Entering 'third_party/cudnn_frontend'
2022-05-18T03:44:39.2643439Z Entering 'third_party/eigen'
2022-05-18T03:44:39.2678248Z Entering 'third_party/fbgemm'
2022-05-18T03:44:39.2711003Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-05-18T03:44:39.2745989Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-05-18T03:44:39.2784274Z Entering 'third_party/fbgemm/third_party/googletest'
2022-05-18T03:44:39.2821100Z Entering 'third_party/flatbuffers'
2022-05-18T03:44:39.2855885Z Entering 'third_party/fmt'
2022-05-18T03:44:39.2889476Z Entering 'third_party/foxi'
2022-05-18T03:44:39.2922353Z Entering 'third_party/gemmlowp/gemmlowp'
2022-05-18T03:44:39.2955802Z Entering 'third_party/gloo'
2022-05-18T03:44:39.2989319Z Entering 'third_party/googletest'
2022-05-18T03:44:39.3022705Z Entering 'third_party/ideep'
2022-05-18T03:44:39.3057121Z Entering 'third_party/ideep/mkl-dnn'
2022-05-18T03:44:39.3090225Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-05-18T03:44:39.3128947Z Entering 'third_party/ios-cmake'
2022-05-18T03:44:39.3161929Z Entering 'third_party/kineto'
2022-05-18T03:44:39.3195756Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-05-18T03:44:39.3229177Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-05-18T03:44:39.3261982Z Entering 'third_party/nccl/nccl'
2022-05-18T03:44:39.3295525Z Entering 'third_party/neon2sse'
2022-05-18T03:44:39.3328074Z Entering 'third_party/onnx'
2022-05-18T03:44:39.3370994Z Entering 'third_party/onnx/third_party/benchmark'
2022-05-18T03:44:39.3404009Z Entering 'third_party/onnx/third_party/pybind11'
2022-05-18T03:44:39.3438285Z Entering 'third_party/onnx-tensorrt'
2022-05-18T03:44:39.3471121Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-05-18T03:44:39.3507565Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-05-18T03:44:39.3540909Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-05-18T03:44:39.3573142Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-05-18T03:44:39.3609071Z Entering 'third_party/pocketfft'
2022-05-18T03:44:39.3642480Z Entering 'third_party/protobuf'
2022-05-18T03:44:39.3678021Z Entering 'third_party/protobuf/third_party/benchmark'
2022-05-18T03:44:39.3710278Z Entering 'third_party/protobuf/third_party/googletest'
2022-05-18T03:44:39.3745533Z Entering 'third_party/psimd'
2022-05-18T03:44:39.3778690Z Entering 'third_party/pthreadpool'
2022-05-18T03:44:39.3810960Z Entering 'third_party/pybind11'
2022-05-18T03:44:39.3844017Z Entering 'third_party/python-enum'
2022-05-18T03:44:39.3875890Z Entering 'third_party/python-peachpy'
2022-05-18T03:44:39.3909359Z Entering 'third_party/python-six'
2022-05-18T03:44:39.3941887Z Entering 'third_party/sleef'
2022-05-18T03:44:39.3975647Z Entering 'third_party/tbb'
2022-05-18T03:44:39.4009175Z Entering 'third_party/tensorpipe'
2022-05-18T03:44:39.4042667Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-05-18T03:44:39.4074906Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-05-18T03:44:39.4107587Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-05-18T03:44:39.4140408Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-05-18T03:44:39.4171937Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-05-18T03:44:39.4206169Z Entering 'third_party/zstd'
2022-05-18T03:44:39.4250166Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2022-05-18T03:44:39.4501262Z Entering 'android/libs/fbjni'
2022-05-18T03:44:39.4534059Z Entering 'third_party/FP16'
2022-05-18T03:44:39.4566322Z Entering 'third_party/FXdiv'
2022-05-18T03:44:39.4600472Z Entering 'third_party/NNPACK'
2022-05-18T03:44:39.4634049Z Entering 'third_party/QNNPACK'
2022-05-18T03:44:39.4667232Z Entering 'third_party/XNNPACK'
2022-05-18T03:44:39.4710139Z Entering 'third_party/benchmark'
2022-05-18T03:44:39.4743315Z Entering 'third_party/cpuinfo'
2022-05-18T03:44:39.4776663Z Entering 'third_party/cub'
2022-05-18T03:44:39.4809776Z Entering 'third_party/cudnn_frontend'
2022-05-18T03:44:39.4847379Z Entering 'third_party/eigen'
2022-05-18T03:44:39.4884205Z Entering 'third_party/fbgemm'
2022-05-18T03:44:39.4917406Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-05-18T03:44:39.4950353Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-05-18T03:44:39.4983107Z Entering 'third_party/fbgemm/third_party/googletest'
2022-05-18T03:44:39.5016251Z Entering 'third_party/flatbuffers'
2022-05-18T03:44:39.5051034Z Entering 'third_party/fmt'
2022-05-18T03:44:39.5084162Z Entering 'third_party/foxi'
2022-05-18T03:44:39.5117802Z Entering 'third_party/gemmlowp/gemmlowp'
2022-05-18T03:44:39.5151074Z Entering 'third_party/gloo'
2022-05-18T03:44:39.5183672Z Entering 'third_party/googletest'
2022-05-18T03:44:39.5217566Z Entering 'third_party/ideep'
2022-05-18T03:44:39.5250046Z Entering 'third_party/ideep/mkl-dnn'
2022-05-18T03:44:39.5284513Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-05-18T03:44:39.5323068Z Entering 'third_party/ios-cmake'
2022-05-18T03:44:39.5358125Z Entering 'third_party/kineto'
2022-05-18T03:44:39.5392379Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-05-18T03:44:39.5426173Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-05-18T03:44:39.5460285Z Entering 'third_party/nccl/nccl'
2022-05-18T03:44:39.5493321Z Entering 'third_party/neon2sse'
2022-05-18T03:44:39.5526375Z Entering 'third_party/onnx'
2022-05-18T03:44:39.5569557Z Entering 'third_party/onnx/third_party/benchmark'
2022-05-18T03:44:39.5602699Z Entering 'third_party/onnx/third_party/pybind11'
2022-05-18T03:44:39.5637459Z Entering 'third_party/onnx-tensorrt'
2022-05-18T03:44:39.5670259Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-05-18T03:44:39.5707821Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-05-18T03:44:39.5740689Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-05-18T03:44:39.5773772Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-05-18T03:44:39.5810085Z Entering 'third_party/pocketfft'
2022-05-18T03:44:39.5843808Z Entering 'third_party/protobuf'
2022-05-18T03:44:39.5879804Z Entering 'third_party/protobuf/third_party/benchmark'
2022-05-18T03:44:39.5913170Z Entering 'third_party/protobuf/third_party/googletest'
2022-05-18T03:44:39.5948399Z Entering 'third_party/psimd'
2022-05-18T03:44:39.5982271Z Entering 'third_party/pthreadpool'
2022-05-18T03:44:39.6015583Z Entering 'third_party/pybind11'
2022-05-18T03:44:39.6049199Z Entering 'third_party/python-enum'
2022-05-18T03:44:39.6082019Z Entering 'third_party/python-peachpy'
2022-05-18T03:44:39.6114479Z Entering 'third_party/python-six'
2022-05-18T03:44:39.6147781Z Entering 'third_party/sleef'
2022-05-18T03:44:39.6180343Z Entering 'third_party/tbb'
2022-05-18T03:44:39.6214639Z Entering 'third_party/tensorpipe'
2022-05-18T03:44:39.6248155Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-05-18T03:44:39.6280545Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-05-18T03:44:39.6314252Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-05-18T03:44:39.6346694Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-05-18T03:44:39.6378477Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-05-18T03:44:39.6413166Z Entering 'third_party/zstd'
2022-05-18T03:44:39.6453994Z ##[endgroup]
2022-05-18T03:44:39.6491401Z [command]/usr/bin/git log -1 --format='%H'
2022-05-18T03:44:39.6516700Z '3b2375291aab7b48442f2e6fb1ef66cebc761e24'
2022-05-18T03:44:39.6641526Z Prepare all required actions
2022-05-18T03:44:39.6665685Z ##[group]Run ./.github/actions/setup-linux
2022-05-18T03:44:39.6665916Z env:
2022-05-18T03:44:39.6666087Z   IN_CI: 1
2022-05-18T03:44:39.6666279Z   IS_GHA: 1
2022-05-18T03:44:39.6666486Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:44:39.6666690Z ##[endgroup]
2022-05-18T03:44:39.6680473Z ##[group]Run set -euo pipefail
2022-05-18T03:44:39.6680742Z set -euo pipefail
2022-05-18T03:44:39.6680969Z function get_ec2_metadata() {
2022-05-18T03:44:39.6681244Z   # Pulled from instance metadata endpoint for EC2
2022-05-18T03:44:39.6681623Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2022-05-18T03:44:39.6681958Z   category=$1
2022-05-18T03:44:39.6682215Z   curl -fsSL "http://169.254.169.254/latest/meta-data/${category}"
2022-05-18T03:44:39.6682468Z }
2022-05-18T03:44:39.6682715Z echo "ami-id: $(get_ec2_metadata ami-id)"
2022-05-18T03:44:39.6683004Z echo "instance-id: $(get_ec2_metadata instance-id)"
2022-05-18T03:44:39.6683309Z echo "instance-type: $(get_ec2_metadata instance-type)"
2022-05-18T03:44:39.6683584Z echo "system info $(uname -a)"
2022-05-18T03:44:39.6696661Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T03:44:39.6696908Z env:
2022-05-18T03:44:39.6697094Z   IN_CI: 1
2022-05-18T03:44:39.6697268Z   IS_GHA: 1
2022-05-18T03:44:39.6697476Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:44:39.6697695Z ##[endgroup]
2022-05-18T03:44:39.6773896Z ami-id: ami-096198a0bccc6bad4
2022-05-18T03:44:39.6822050Z instance-id: i-016381421bd74e438
2022-05-18T03:44:39.6869637Z instance-type: c5.2xlarge
2022-05-18T03:44:39.6876082Z system info Linux ip-10-0-5-150.ec2.internal 4.14.252-195.483.amzn2.x86_64 #1 SMP Mon Nov 1 20:58:46 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux
2022-05-18T03:44:39.6890273Z ##[group]Run if systemctl is-active --quiet docker; then
2022-05-18T03:44:39.6890601Z if systemctl is-active --quiet docker; then
2022-05-18T03:44:39.6890880Z     echo "Docker daemon is running...";
2022-05-18T03:44:39.6891117Z else
2022-05-18T03:44:39.6891382Z     echo "Starting docker deamon..." && sudo systemctl start docker;
2022-05-18T03:44:39.6891852Z fi
2022-05-18T03:44:39.6902498Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T03:44:39.6902744Z env:
2022-05-18T03:44:39.6902919Z   IN_CI: 1
2022-05-18T03:44:39.6903110Z   IS_GHA: 1
2022-05-18T03:44:39.6903323Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:44:39.6903528Z ##[endgroup]
2022-05-18T03:44:39.6944315Z Docker daemon is running...
2022-05-18T03:44:39.6957968Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2022-05-18T03:44:39.6958348Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2022-05-18T03:44:39.6958664Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2022-05-18T03:44:39.6959064Z retry aws ecr get-login*** "$AWS_DEFAULT_REGION" | docker login --username AWS \
2022-05-18T03:44:39.6959426Z     --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"
2022-05-18T03:44:39.6969606Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T03:44:39.6969849Z env:
2022-05-18T03:44:39.6970020Z   IN_CI: 1
2022-05-18T03:44:39.6970211Z   IS_GHA: 1
2022-05-18T03:44:39.6970421Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:44:39.6970633Z   AWS_RETRY_MODE: standard
2022-05-18T03:44:39.6970849Z   AWS_MAX_ATTEMPTS: 5
2022-05-18T03:44:39.6971073Z   AWS_DEFAULT_REGION: us-east-1
2022-05-18T03:44:39.6971286Z ##[endgroup]
2022-05-18T03:44:40.8781290Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2022-05-18T03:44:40.8781798Z Configure a credential helper to remove this warning. See
2022-05-18T03:44:40.8782665Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2022-05-18T03:44:40.8783029Z 
2022-05-18T03:44:40.8783107Z Login Succeeded
2022-05-18T03:44:40.8812824Z ##[group]Run env | grep '^GITHUB' > "/tmp/github_env_${GITHUB_RUN_ID}"
2022-05-18T03:44:40.8813142Z env | grep '^GITHUB' > "/tmp/github_env_${GITHUB_RUN_ID}"
2022-05-18T03:44:40.8824469Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T03:44:40.8824718Z env:
2022-05-18T03:44:40.8824890Z   IN_CI: 1
2022-05-18T03:44:40.8825082Z   IS_GHA: 1
2022-05-18T03:44:40.8825294Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:44:40.8825501Z ##[endgroup]
2022-05-18T03:44:40.8874655Z Prepare all required actions
2022-05-18T03:44:40.8874894Z Getting action download info
2022-05-18T03:44:41.0348194Z Download action repository 'seemethere/add-github-ssh-key@v1' (SHA:1ecffedb1e192a50aa67dba2f0e048e5d3bfa144)
2022-05-18T03:44:41.1409469Z ##[group]Run ./.github/actions/setup-ssh
2022-05-18T03:44:41.1409669Z with:
2022-05-18T03:44:41.1409967Z   github-secret: ***
2022-05-18T03:44:41.1410140Z env:
2022-05-18T03:44:41.1410294Z   IN_CI: 1
2022-05-18T03:44:41.1410441Z   IS_GHA: 1
2022-05-18T03:44:41.1410621Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:44:41.1410808Z ##[endgroup]
2022-05-18T03:44:41.1428800Z ##[group]Run seemethere/add-github-ssh-key@v1
2022-05-18T03:44:41.1429014Z with:
2022-05-18T03:44:41.1429301Z   GITHUB_TOKEN: ***
2022-05-18T03:44:41.1429498Z   activate-with-label: false
2022-05-18T03:44:41.1429679Z   label: with-ssh
2022-05-18T03:44:41.1429869Z   remove-existing-keys: true
2022-05-18T03:44:41.1430051Z env:
2022-05-18T03:44:41.1430192Z   IN_CI: 1
2022-05-18T03:44:41.1430385Z   IS_GHA: 1
2022-05-18T03:44:41.1430550Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:44:41.1430744Z ##[endgroup]
2022-05-18T03:44:41.4942112Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2022-05-18T03:44:41.4983517Z Prepare all required actions
2022-05-18T03:44:41.4998989Z ##[group]Run ./.github/actions/pull-docker-image
2022-05-18T03:44:41.4999199Z with:
2022-05-18T03:44:41.4999551Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3-clang7-asan:6deab82db6a72ca54cd3e3322ee4f13864536734
2022-05-18T03:44:41.4999881Z env:
2022-05-18T03:44:41.5000037Z   IN_CI: 1
2022-05-18T03:44:41.5000199Z   IS_GHA: 1
2022-05-18T03:44:41.5000366Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:44:41.5000550Z ##[endgroup]
2022-05-18T03:44:41.5011177Z ##[group]Run retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2022-05-18T03:44:41.5011639Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2022-05-18T03:44:41.5011933Z retry docker pull "${DOCKER_IMAGE}"
2022-05-18T03:44:41.5023130Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T03:44:41.5023452Z env:
2022-05-18T03:44:41.5023609Z   IN_CI: 1
2022-05-18T03:44:41.5023788Z   IS_GHA: 1
2022-05-18T03:44:41.5023970Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:44:41.5024329Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3-clang7-asan:6deab82db6a72ca54cd3e3322ee4f13864536734
2022-05-18T03:44:41.5024677Z ##[endgroup]
2022-05-18T03:44:41.7428577Z 6deab82db6a72ca54cd3e3322ee4f13864536734: Pulling from pytorch/pytorch-linux-xenial-py3-clang7-asan
2022-05-18T03:44:41.7442878Z 58690f9b18fc: Pulling fs layer
2022-05-18T03:44:41.7443223Z b51569e7c507: Pulling fs layer
2022-05-18T03:44:41.7443501Z da8ef40b9eca: Pulling fs layer
2022-05-18T03:44:41.7443802Z fb15d46c38dc: Pulling fs layer
2022-05-18T03:44:41.7449996Z 891a63226f95: Pulling fs layer
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2022-05-18T03:44:41.7455144Z b75f3ae96d42: Pulling fs layer
2022-05-18T03:44:41.7455465Z 891a63226f95: Waiting
2022-05-18T03:44:41.7455665Z b5ffd66de3c4: Pulling fs layer
2022-05-18T03:44:41.7455854Z fb15d46c38dc: Waiting
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2022-05-18T03:44:41.7456619Z a964e0006816: Waiting
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2022-05-18T03:44:41.7461761Z 06aabba9da1d: Waiting
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2022-05-18T03:44:41.7463115Z 6164c8f1f2eb: Waiting
2022-05-18T03:44:41.7463374Z 9fadaeeeef53: Pulling fs layer
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2022-05-18T03:44:41.7481554Z 452d63d5dfbd: Waiting
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2022-05-18T03:44:41.7486954Z 29d1764fbbdb: Waiting
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2022-05-18T03:44:41.7488254Z 1c87c9abe677: Pulling fs layer
2022-05-18T03:44:41.7488558Z cd6a388a3ed4: Waiting
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2022-05-18T03:44:41.7489494Z 400991b55f49: Waiting
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2022-05-18T03:44:41.7490115Z 37b14e3d6a56: Pulling fs layer
2022-05-18T03:44:41.7490440Z 4f2f77d02efd: Waiting
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2022-05-18T03:44:41.7492937Z 31e414dc2df0: Waiting
2022-05-18T03:44:41.7493223Z de7d84a9b091: Pulling fs layer
2022-05-18T03:44:41.7493529Z 6c2a9ceb68dd: Waiting
2022-05-18T03:44:41.7493841Z 586e0ea3a12d: Pulling fs layer
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2022-05-18T03:44:41.8189981Z b51569e7c507: Download complete
2022-05-18T03:44:41.8402116Z da8ef40b9eca: Verifying Checksum
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2022-05-18T03:44:42.2726318Z 58690f9b18fc: Verifying Checksum
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2022-05-18T03:44:42.5524208Z 6164c8f1f2eb: Verifying Checksum
2022-05-18T03:44:42.5524615Z 6164c8f1f2eb: Download complete
2022-05-18T03:44:42.6342890Z 452d63d5dfbd: Download complete
2022-05-18T03:44:42.7042950Z 0864dea9dbdd: Download complete
2022-05-18T03:44:42.7160005Z 06aabba9da1d: Verifying Checksum
2022-05-18T03:44:42.7160549Z 06aabba9da1d: Download complete
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2022-05-18T03:44:42.9111519Z b5ffd66de3c4: Download complete
2022-05-18T03:44:42.9859341Z dd1ded3c2e24: Verifying Checksum
2022-05-18T03:44:42.9859715Z dd1ded3c2e24: Download complete
2022-05-18T03:44:43.0612188Z b75f3ae96d42: Verifying Checksum
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2022-05-18T03:44:43.1264096Z 7ac9a7193fd3: Verifying Checksum
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2022-05-18T03:44:43.2045444Z d19a309757c6: Download complete
2022-05-18T03:44:43.2959810Z 2dd51c59a959: Download complete
2022-05-18T03:44:43.3724802Z 337fe73d4c44: Verifying Checksum
2022-05-18T03:44:43.3725248Z 337fe73d4c44: Download complete
2022-05-18T03:44:43.4552552Z 58690f9b18fc: Pull complete
2022-05-18T03:44:43.4631808Z 9fadaeeeef53: Verifying Checksum
2022-05-18T03:44:43.4632269Z 9fadaeeeef53: Download complete
2022-05-18T03:44:43.5488914Z a61abdff3a67: Verifying Checksum
2022-05-18T03:44:43.5489387Z a61abdff3a67: Download complete
2022-05-18T03:44:43.5660497Z b51569e7c507: Pull complete
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2022-05-18T03:44:44.3815234Z cd6a388a3ed4: Verifying Checksum
2022-05-18T03:44:44.3815621Z cd6a388a3ed4: Download complete
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2022-05-18T03:44:44.5336108Z f695d5ecf8e7: Verifying Checksum
2022-05-18T03:44:44.5336567Z f695d5ecf8e7: Download complete
2022-05-18T03:44:44.5570290Z 0e6710ecebc2: Verifying Checksum
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2022-05-18T03:44:44.6207996Z 31e414dc2df0: Download complete
2022-05-18T03:44:44.6961094Z 773943293b58: Verifying Checksum
2022-05-18T03:44:44.6961891Z 773943293b58: Download complete
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2022-05-18T03:44:44.8605767Z cc151debac01: Verifying Checksum
2022-05-18T03:44:44.8606272Z cc151debac01: Download complete
2022-05-18T03:44:44.9558958Z 71ff33b54715: Download complete
2022-05-18T03:44:45.0545478Z df89aff22a4a: Verifying Checksum
2022-05-18T03:44:45.0545741Z df89aff22a4a: Download complete
2022-05-18T03:44:45.1311247Z 8bce07924c77: Verifying Checksum
2022-05-18T03:44:45.1311654Z 8bce07924c77: Download complete
2022-05-18T03:44:45.2604592Z ebe633bbcebf: Download complete
2022-05-18T03:44:45.3421867Z 82624c7946b4: Verifying Checksum
2022-05-18T03:44:45.3422783Z 82624c7946b4: Download complete
2022-05-18T03:44:45.4188005Z 3e30b62ba4f1: Download complete
2022-05-18T03:44:45.4979262Z 91d0ec7f8ed8: Verifying Checksum
2022-05-18T03:44:45.4979666Z 91d0ec7f8ed8: Download complete
2022-05-18T03:44:45.5865078Z 27690dc758f9: Download complete
2022-05-18T03:44:45.6043697Z 6c2a9ceb68dd: Verifying Checksum
2022-05-18T03:44:45.6043963Z 6c2a9ceb68dd: Download complete
2022-05-18T03:44:45.6771654Z 920098e3edb1: Verifying Checksum
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2022-05-18T03:44:45.7449869Z 544282dbb293: Verifying Checksum
2022-05-18T03:44:45.7450806Z 544282dbb293: Download complete
2022-05-18T03:44:45.8074626Z 1315db2683c1: Verifying Checksum
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2022-05-18T03:44:45.8830574Z 106d72a20b6e: Verifying Checksum
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2022-05-18T03:44:45.9745741Z 37b14e3d6a56: Verifying Checksum
2022-05-18T03:44:45.9746286Z 37b14e3d6a56: Download complete
2022-05-18T03:44:46.0154664Z 1c87c9abe677: Verifying Checksum
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2022-05-18T03:44:46.1085503Z 8db4c9a5b348: Download complete
2022-05-18T03:44:46.2181023Z da9f56107608: Verifying Checksum
2022-05-18T03:44:46.2181470Z da9f56107608: Download complete
2022-05-18T03:44:46.2940165Z 5541e5b5cca8: Verifying Checksum
2022-05-18T03:44:46.2940791Z 5541e5b5cca8: Download complete
2022-05-18T03:44:46.3877887Z de7d84a9b091: Verifying Checksum
2022-05-18T03:44:46.3878859Z de7d84a9b091: Download complete
2022-05-18T03:44:46.4577876Z 586e0ea3a12d: Verifying Checksum
2022-05-18T03:44:46.4578914Z 586e0ea3a12d: Download complete
2022-05-18T03:44:47.0642715Z 961817ad973e: Verifying Checksum
2022-05-18T03:44:49.7347751Z ea0f26a0dca7: Verifying Checksum
2022-05-18T03:44:49.7348082Z ea0f26a0dca7: Download complete
2022-05-18T03:44:49.9331290Z 3d75c858ac80: Pull complete
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2022-05-18T03:44:55.3281998Z 6b2db1c30452: Verifying Checksum
2022-05-18T03:44:55.3282434Z 6b2db1c30452: Download complete
2022-05-18T03:45:14.4394859Z 6b2db1c30452: Pull complete
2022-05-18T03:45:14.6920979Z 7ac9a7193fd3: Pull complete
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2022-05-18T03:45:20.7320191Z 80aef01921b5: Pull complete
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2022-05-18T03:45:24.7267795Z 37b14e3d6a56: Pull complete
2022-05-18T03:45:24.9942241Z da9f56107608: Pull complete
2022-05-18T03:45:25.0835451Z 8db4c9a5b348: Pull complete
2022-05-18T03:45:29.4307539Z ea0f26a0dca7: Pull complete
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2022-05-18T03:45:29.7410920Z 586e0ea3a12d: Pull complete
2022-05-18T03:45:31.2996816Z 961817ad973e: Pull complete
2022-05-18T03:45:31.4165376Z Digest: sha256:fc210a4b7c290dd6ffcdb18f577079942234d307ac30fbd503782d770782b7ba
2022-05-18T03:45:31.4433285Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3-clang7-asan:6deab82db6a72ca54cd3e3322ee4f13864536734
2022-05-18T03:45:31.4475637Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3-clang7-asan:6deab82db6a72ca54cd3e3322ee4f13864536734
2022-05-18T03:45:31.4530117Z Prepare all required actions
2022-05-18T03:45:31.4530371Z Getting action download info
2022-05-18T03:45:31.6203839Z Download action repository 'seemethere/download-artifact-s3@v3' (SHA:64048a097659c8ca71ceacbb3c01cee9ed6f1b05)
2022-05-18T03:45:31.7699161Z Download action repository 'actions/download-artifact@v2' (SHA:f023be2c48cc18debc3bacd34cb396e0295e2869)
2022-05-18T03:45:31.8789626Z ##[group]Run ./.github/actions/download-build-artifacts
2022-05-18T03:45:31.8789935Z with:
2022-05-18T03:45:31.8790294Z   name: linux-xenial-py3.7-clang7-asan
2022-05-18T03:45:31.8790623Z env:
2022-05-18T03:45:31.8790838Z   IN_CI: 1
2022-05-18T03:45:31.8791075Z   IS_GHA: 1
2022-05-18T03:45:31.8791358Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:45:31.8791607Z ##[endgroup]
2022-05-18T03:45:31.8822380Z ##[group]Run seemethere/download-artifact-s3@v3
2022-05-18T03:45:31.8822677Z with:
2022-05-18T03:45:31.8822872Z   name: linux-xenial-py3.7-clang7-asan
2022-05-18T03:45:31.8823141Z   s3-bucket: gha-artifacts
2022-05-18T03:45:31.8823321Z   region: us-east-1
2022-05-18T03:45:31.8823489Z env:
2022-05-18T03:45:31.8823644Z   IN_CI: 1
2022-05-18T03:45:31.8823788Z   IS_GHA: 1
2022-05-18T03:45:31.8823969Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:45:31.8824157Z ##[endgroup]
2022-05-18T03:45:32.2760483Z Found 1 objects with prefix pytorch/pytorch/2342799944/1/linux-xenial-py3.7-clang7-asan/
2022-05-18T03:45:32.2760964Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2022-05-18T03:45:42.5246224Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2022-05-18T03:45:42.5246606Z 
2022-05-18T03:45:42.5254380Z Artifact download has finished successfully
2022-05-18T03:45:42.5426273Z ##[group]Run unzip -o artifacts.zip
2022-05-18T03:45:42.5426504Z unzip -o artifacts.zip
2022-05-18T03:45:42.5437936Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T03:45:42.5438155Z env:
2022-05-18T03:45:42.5438314Z   IN_CI: 1
2022-05-18T03:45:42.5438474Z   IS_GHA: 1
2022-05-18T03:45:42.5438656Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:45:42.5438844Z ##[endgroup]
2022-05-18T03:45:42.5504795Z Archive:  artifacts.zip
2022-05-18T03:45:42.5505532Z    creating: dist/
2022-05-18T03:45:44.5425883Z   inflating: dist/torch-1.12.0a0+git3b23752-cp37-cp37m-linux_x86_64.whl  
2022-05-18T03:45:46.2644647Z   inflating: dist/torch-1.12.0a0+git3b23752.tar.gz  
2022-05-18T03:45:46.2644920Z    creating: build/lib/
2022-05-18T03:45:46.2646270Z   inflating: build/lib/libclog.a     
2022-05-18T03:45:46.2824005Z   inflating: build/lib/libgtest.a    
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2022-05-18T03:45:46.3262763Z   inflating: build/lib/libprotobuf-lite.a  
2022-05-18T03:45:46.3326377Z   inflating: build/lib/libfmt.a      
2022-05-18T03:45:46.3435815Z   inflating: build/lib/libtensorpipe_uv.a  
2022-05-18T03:45:46.3436991Z   inflating: build/lib/libfoxi_loader.a  
2022-05-18T03:45:46.3700786Z   inflating: build/lib/libasmjit.a   
2022-05-18T03:45:46.4019810Z   inflating: build/lib/libgloo.a     
2022-05-18T03:45:46.4904603Z   inflating: build/lib/libprotobuf.a  
2022-05-18T03:45:46.4905109Z   inflating: build/lib/libtorch_global_deps.so  
2022-05-18T03:45:46.5111977Z   inflating: build/lib/libc10.so     
2022-05-18T03:45:46.5138177Z   inflating: build/lib/libcpuinfo.a  
2022-05-18T03:45:46.5162295Z   inflating: build/lib/libcpuinfo_internals.a  
2022-05-18T03:45:46.5210092Z   inflating: build/lib/libgmock.a    
2022-05-18T03:45:46.5218144Z   inflating: build/lib/libnnpack_reference_layers.a  
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2022-05-18T03:45:46.6237254Z   inflating: build/lib/libprotoc.a   
2022-05-18T03:45:46.8088639Z   inflating: build/lib/libtensorpipe.a  
2022-05-18T03:45:47.5555964Z   inflating: build/lib/libfbgemm.a   
2022-05-18T03:45:47.5615246Z   inflating: build/lib/libqnnpack.a  
2022-05-18T03:45:47.6502182Z   inflating: build/lib/libkineto.a   
2022-05-18T03:45:47.6503053Z   inflating: build/lib/libgmock_main.a  
2022-05-18T03:45:47.6706622Z   inflating: build/lib/libcaffe2_protos.a  
2022-05-18T03:45:47.6805253Z   inflating: build/lib/libpytorch_qnnpack.a  
2022-05-18T03:45:47.7017766Z   inflating: build/lib/libonnx_proto.a  
2022-05-18T03:45:47.9184184Z   inflating: build/lib/libonnx.a     
2022-05-18T03:45:47.9218875Z   inflating: build/lib/libnnpack.a   
2022-05-18T03:45:53.0158685Z   inflating: build/lib/libtorch_cpu.so  
2022-05-18T03:45:53.0159312Z   inflating: build/lib/libtorch.so   
2022-05-18T03:45:53.0236852Z   inflating: build/lib/libjitbackend_test.so  
2022-05-18T03:45:53.0338615Z   inflating: build/lib/libbackend_with_compiler.so  
2022-05-18T03:45:53.0512667Z   inflating: build/lib/libtorchbind_test.so  
2022-05-18T03:45:53.0522469Z   inflating: build/lib/libshm.so     
2022-05-18T03:45:53.6957436Z   inflating: build/lib/libtorch_python.so  
2022-05-18T03:45:53.7097505Z   inflating: build/lib/libnnapi_backend.so  
2022-05-18T03:45:53.7097734Z    creating: build/bin/
2022-05-18T03:45:53.7252486Z   inflating: build/bin/c10_registry_test  
2022-05-18T03:45:53.7470328Z   inflating: build/bin/c10_optional_test  
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2022-05-18T03:45:53.8547982Z   inflating: build/bin/c10_either_test  
2022-05-18T03:45:53.8703492Z   inflating: build/bin/c10_complex_test  
2022-05-18T03:45:53.8847093Z   inflating: build/bin/c10_irange_test  
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2022-05-18T03:45:53.9613730Z   inflating: build/bin/c10_Bitset_test  
2022-05-18T03:45:53.9771881Z   inflating: build/bin/c10_InlineStreamGuard_test  
2022-05-18T03:45:54.0151007Z   inflating: build/bin/c10_SmallVectorTest  
2022-05-18T03:45:54.0302856Z   inflating: build/bin/c10_InlineDeviceGuard_test  
2022-05-18T03:45:54.0455653Z   inflating: build/bin/c10_typeid_test  
2022-05-18T03:45:54.0597086Z   inflating: build/bin/c10_CompileTimeFunctionPointer_test  
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2022-05-18T03:45:54.1544140Z   inflating: build/bin/c10_DispatchKeySet_test  
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2022-05-18T03:45:54.3462861Z   inflating: build/bin/c10_TypeList_test  
2022-05-18T03:45:54.3619593Z   inflating: build/bin/c10_intrusive_ptr_benchmark  
2022-05-18T03:45:54.4635533Z   inflating: build/bin/protoc-3.13.0.0  
2022-05-18T03:45:54.5650215Z   inflating: build/bin/protoc        
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2022-05-18T03:45:54.9770388Z   inflating: build/bin/example_allreduce  
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2022-05-18T03:45:55.2192443Z   inflating: build/bin/vmap_test     
2022-05-18T03:45:55.2334554Z   inflating: build/bin/reduce_ops_test  
2022-05-18T03:45:55.2512957Z   inflating: build/bin/type_test     
2022-05-18T03:45:55.2690450Z   inflating: build/bin/apply_utils_test  
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2022-05-18T03:45:55.3013559Z   inflating: build/bin/basic         
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2022-05-18T03:45:55.4549643Z   inflating: build/bin/verify_api_visibility  
2022-05-18T03:45:55.4697955Z   inflating: build/bin/memory_overlapping_test  
2022-05-18T03:45:55.4863515Z   inflating: build/bin/atest         
2022-05-18T03:45:55.5025475Z   inflating: build/bin/extension_backend_test  
2022-05-18T03:45:55.5187350Z   inflating: build/bin/scalar_test   
2022-05-18T03:45:55.5382109Z   inflating: build/bin/pow_test      
2022-05-18T03:45:55.5572116Z   inflating: build/bin/Dict_test     
2022-05-18T03:45:55.5720073Z   inflating: build/bin/inline_container_test  
2022-05-18T03:45:55.6099844Z   inflating: build/bin/kernel_lambda_legacy_test  
2022-05-18T03:45:55.6249871Z   inflating: build/bin/undefined_tensor_test  
2022-05-18T03:45:55.6407750Z   inflating: build/bin/cpu_generator_test  
2022-05-18T03:45:55.6553376Z   inflating: build/bin/wrapdim_test  
2022-05-18T03:45:55.6798259Z   inflating: build/bin/List_test     
2022-05-18T03:45:55.6942056Z   inflating: build/bin/dlconvertor_test  
2022-05-18T03:45:55.7100674Z   inflating: build/bin/native_test   
2022-05-18T03:45:55.7386106Z   inflating: build/bin/ivalue_test   
2022-05-18T03:45:55.7560467Z   inflating: build/bin/scalar_tensor_test  
2022-05-18T03:45:55.7703129Z   inflating: build/bin/lazy_tensor_test  
2022-05-18T03:45:55.7859826Z   inflating: build/bin/quantized_test  
2022-05-18T03:45:55.7999729Z   inflating: build/bin/mobile_memory_cleanup  
2022-05-18T03:45:55.8006227Z   inflating: build/bin/thread_init_test  
2022-05-18T03:45:55.8153468Z   inflating: build/bin/weakref_test  
2022-05-18T03:45:55.8297258Z   inflating: build/bin/CppSignature_test  
2022-05-18T03:45:55.8454521Z   inflating: build/bin/NamedTensor_test  
2022-05-18T03:45:55.8598686Z   inflating: build/bin/operators_test  
2022-05-18T03:45:55.8748489Z   inflating: build/bin/math_kernel_test  
2022-05-18T03:45:55.8981308Z   inflating: build/bin/tensor_iterator_test  
2022-05-18T03:45:55.9902432Z   inflating: build/bin/op_registration_test  
2022-05-18T03:45:56.0060512Z   inflating: build/bin/test_dist_autograd  
2022-05-18T03:45:56.0102418Z   inflating: build/bin/tutorial_tensorexpr  
2022-05-18T03:45:56.0107778Z   inflating: build/bin/parallel_benchmark  
2022-05-18T03:45:56.0323913Z   inflating: build/bin/test_cpp_rpc  
2022-05-18T03:45:56.0339528Z   inflating: build/bin/torch_shm_manager  
2022-05-18T03:45:56.1159648Z   inflating: build/bin/test_lazy     
2022-05-18T03:45:56.2966069Z   inflating: build/bin/test_tensorexpr  
2022-05-18T03:45:56.6177905Z   inflating: build/bin/test_api      
2022-05-18T03:45:56.7933627Z   inflating: build/bin/test_jit      
2022-05-18T03:45:56.7952786Z ##[group]Run df -H
2022-05-18T03:45:56.7952974Z df -H
2022-05-18T03:45:56.7964347Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T03:45:56.7964572Z env:
2022-05-18T03:45:56.7964733Z   IN_CI: 1
2022-05-18T03:45:56.7964882Z   IS_GHA: 1
2022-05-18T03:45:56.7965069Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:45:56.7965260Z ##[endgroup]
2022-05-18T03:45:56.8278458Z Filesystem      Size  Used Avail Use% Mounted on
2022-05-18T03:45:56.8278903Z devtmpfs        8.2G     0  8.2G   0% /dev
2022-05-18T03:45:56.8279281Z tmpfs           8.2G     0  8.2G   0% /dev/shm
2022-05-18T03:45:56.8279492Z tmpfs           8.2G  467k  8.2G   1% /run
2022-05-18T03:45:56.8280684Z tmpfs           8.2G     0  8.2G   0% /sys/fs/cgroup
2022-05-18T03:45:56.8280963Z /dev/nvme0n1p1  162G   17G  145G  11% /
2022-05-18T03:45:56.8281302Z tmpfs           1.7G     0  1.7G   0% /run/user/0
2022-05-18T03:45:56.8306472Z ##[group]Run .github/scripts/parse_ref.py
2022-05-18T03:45:56.8306719Z .github/scripts/parse_ref.py
2022-05-18T03:45:56.8317518Z shell: /usr/bin/bash -e {0}
2022-05-18T03:45:56.8317703Z env:
2022-05-18T03:45:56.8317863Z   IN_CI: 1
2022-05-18T03:45:56.8318015Z   IS_GHA: 1
2022-05-18T03:45:56.8318194Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:45:56.8318384Z ##[endgroup]
2022-05-18T03:45:57.2836040Z ##[group]Run set -x
2022-05-18T03:45:57.2836287Z set -x
2022-05-18T03:45:57.2836563Z 
2022-05-18T03:45:57.2836799Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2022-05-18T03:45:57.2837041Z   TEST_COMMAND=.jenkins/pytorch/multigpu-test.sh
2022-05-18T03:45:57.2837300Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2022-05-18T03:45:57.2837536Z   TEST_COMMAND=.jenkins/caffe2/test.sh
2022-05-18T03:45:57.2837725Z else
2022-05-18T03:45:57.2837929Z   TEST_COMMAND=.jenkins/pytorch/test.sh
2022-05-18T03:45:57.2838126Z fi
2022-05-18T03:45:57.2838267Z 
2022-05-18T03:45:57.2838498Z COMMIT_MESSAGES=$(git cherry -v "origin/${GIT_DEFAULT_BRANCH:-master}")
2022-05-18T03:45:57.2838753Z export COMMIT_MESSAGES
2022-05-18T03:45:57.2838917Z 
2022-05-18T03:45:57.2839138Z # detached container should get cleaned up by teardown_ec2_linux
2022-05-18T03:45:57.2839453Z # TODO: Stop building test binaries as part of the build phase
2022-05-18T03:45:57.2839722Z # Used for GPU_FLAG since that doesn't play nice
2022-05-18T03:45:57.2839949Z # shellcheck disable=SC2086,SC2090
2022-05-18T03:45:57.2840168Z container_name=$(docker run \
2022-05-18T03:45:57.2840363Z   ${GPU_FLAG:-} \
2022-05-18T03:45:57.2840543Z   -e BUILD_ENVIRONMENT \
2022-05-18T03:45:57.2840737Z   -e PR_NUMBER \
2022-05-18T03:45:57.2840951Z   -e CUSTOM_TEST_ARTIFACT_BUILD_DIR \
2022-05-18T03:45:57.2841152Z   -e GITHUB_ACTIONS \
2022-05-18T03:45:57.2841336Z   -e IN_CI \
2022-05-18T03:45:57.2841514Z   -e IS_GHA \
2022-05-18T03:45:57.2841677Z   -e BRANCH \
2022-05-18T03:45:57.2841847Z   -e SHA1 \
2022-05-18T03:45:57.2842035Z   -e AWS_DEFAULT_REGION \
2022-05-18T03:45:57.2842218Z   -e IN_WHEEL_TEST \
2022-05-18T03:45:57.2842407Z   -e SHARD_NUMBER \
2022-05-18T03:45:57.2842594Z   -e JOB_BASE_NAME \
2022-05-18T03:45:57.2842768Z   -e TEST_CONFIG \
2022-05-18T03:45:57.2842959Z   -e NUM_TEST_SHARDS \
2022-05-18T03:45:57.2843143Z   -e PR_BODY \
2022-05-18T03:45:57.2843328Z   -e COMMIT_MESSAGES \
2022-05-18T03:45:57.2843523Z   -e PYTORCH_RETRY_TEST_CASES \
2022-05-18T03:45:57.2843724Z   -e PR_LABELS \
2022-05-18T03:45:57.2843929Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2022-05-18T03:45:57.2844203Z   -e SCCACHE_BUCKET \
2022-05-18T03:45:57.2844388Z   -e XLA_CUDA \
2022-05-18T03:45:57.2844594Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2022-05-18T03:45:57.2844829Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2022-05-18T03:45:57.2845066Z   --ulimit stack=10485760:83886080 \
2022-05-18T03:45:57.2845293Z   --security-opt seccomp=unconfined \
2022-05-18T03:45:57.2845518Z   --cap-add=SYS_PTRACE \
2022-05-18T03:45:57.2845698Z   --ipc=host \
2022-05-18T03:45:57.2845894Z   --shm-size="${SHM_SIZE}" \
2022-05-18T03:45:57.2846080Z   --tty \
2022-05-18T03:45:57.2846236Z   --detach \
2022-05-18T03:45:57.2846428Z   --name="${container_name}" \
2022-05-18T03:45:57.2846624Z   --user jenkins \
2022-05-18T03:45:57.2846842Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2022-05-18T03:45:57.2847168Z   -w /var/lib/jenkins/workspace \
2022-05-18T03:45:57.2847373Z   "${DOCKER_IMAGE}"
2022-05-18T03:45:57.2847532Z )
2022-05-18T03:45:57.2847779Z docker exec -t "${container_name}" sh -c "pip install dist/*.whl && ${TEST_COMMAND}"
2022-05-18T03:45:57.2859075Z shell: /usr/bin/bash -e {0}
2022-05-18T03:45:57.2859266Z env:
2022-05-18T03:45:57.2859424Z   IN_CI: 1
2022-05-18T03:45:57.2859573Z   IS_GHA: 1
2022-05-18T03:45:57.2859756Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:45:57.2860064Z   BUILD_ENVIRONMENT: linux-xenial-py3.7-clang7-asan
2022-05-18T03:45:57.2860279Z   PR_NUMBER: 
2022-05-18T03:45:57.2860451Z   BRANCH: master
2022-05-18T03:45:57.2860675Z   CUSTOM_TEST_ARTIFACT_BUILD_DIR: build/custom_test_artifacts
2022-05-18T03:45:57.2860917Z   SHA1: 3b2375291aab7b48442f2e6fb1ef66cebc761e24
2022-05-18T03:45:57.2861137Z   PYTORCH_RETRY_TEST_CASES: 1
2022-05-18T03:45:57.2861378Z   JOB_BASE_NAME: linux-xenial-py3.7-clang7-asan-test
2022-05-18T03:45:57.2861611Z   TEST_CONFIG: default
2022-05-18T03:45:57.2861780Z   SHARD_NUMBER: 1
2022-05-18T03:45:57.2861953Z   NUM_TEST_SHARDS: 5
2022-05-18T03:45:57.2862124Z   PR_BODY: 
2022-05-18T03:45:57.2862333Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2022-05-18T03:45:57.2862556Z   SHM_SIZE: 1g
2022-05-18T03:45:57.2862910Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3-clang7-asan:6deab82db6a72ca54cd3e3322ee4f13864536734
2022-05-18T03:45:57.2863238Z   XLA_CUDA: 
2022-05-18T03:45:57.2863499Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2022-05-18T03:45:57.2863762Z ##[endgroup]
2022-05-18T03:45:57.2887634Z + [[ default == \m\u\l\t\i\g\p\u ]]
2022-05-18T03:45:57.2888271Z + [[ linux-xenial-py3.7-clang7-asan == *onnx* ]]
2022-05-18T03:45:57.2888616Z + TEST_COMMAND=.jenkins/pytorch/test.sh
2022-05-18T03:45:57.2890950Z ++ git cherry -v origin/master
2022-05-18T03:45:57.2915908Z + COMMIT_MESSAGES=
2022-05-18T03:45:57.2916242Z + export COMMIT_MESSAGES
2022-05-18T03:45:57.2923676Z +++ nproc --ignore=2
2022-05-18T03:45:57.2933923Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e CUSTOM_TEST_ARTIFACT_BUILD_DIR -e GITHUB_ACTIONS -e IN_CI -e IS_GHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e JOB_BASE_NAME -e TEST_CONFIG -e NUM_TEST_SHARDS -e PR_BODY -e COMMIT_MESSAGES -e PYTORCH_RETRY_TEST_CASES -e PR_LABELS -e MAX_JOBS=6 -e SCCACHE_BUCKET -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME --env-file=/tmp/github_env_2342799944 --ulimit stack=10485760:83886080 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3-clang7-asan:6deab82db6a72ca54cd3e3322ee4f13864536734
2022-05-18T03:46:11.3873313Z + container_name=c790af4ccde8bbd35d6b43750ac0ed3a5491ff4d777ace91eb06ca259dbbe1ef
2022-05-18T03:46:11.3874191Z + docker exec -t c790af4ccde8bbd35d6b43750ac0ed3a5491ff4d777ace91eb06ca259dbbe1ef sh -c 'pip install dist/*.whl && .jenkins/pytorch/test.sh'
2022-05-18T03:46:11.7559737Z Processing ./dist/torch-1.12.0a0+git3b23752-cp37-cp37m-linux_x86_64.whl
2022-05-18T03:46:11.8329840Z Requirement already satisfied: typing-extensions in /opt/conda/lib/python3.7/site-packages (from torch==1.12.0a0+git3b23752) (4.1.1)
2022-05-18T03:46:12.1996144Z Installing collected packages: torch
2022-05-18T03:46:21.0996619Z Successfully installed torch-1.12.0a0+git3b23752
2022-05-18T03:46:21.1538845Z + COMPACT_JOB_NAME=linux-xenial-py3.7-clang7-asan
2022-05-18T03:46:21.1540709Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2022-05-18T03:46:21.1699469Z + TORCH_INSTALL_DIR=/opt/conda/lib/python3.7/site-packages/torch
2022-05-18T03:46:21.1699838Z + TORCH_BIN_DIR=/opt/conda/lib/python3.7/site-packages/torch/bin
2022-05-18T03:46:21.1700178Z + TORCH_LIB_DIR=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:21.1700521Z + TORCH_TEST_DIR=/opt/conda/lib/python3.7/site-packages/torch/test
2022-05-18T03:46:21.1700854Z + BUILD_DIR=build
2022-05-18T03:46:21.1701164Z + BUILD_RENAMED_DIR=build_renamed
2022-05-18T03:46:21.1701446Z + BUILD_BIN_DIR=build/bin
2022-05-18T03:46:21.1701750Z + [[ -n default ]]
2022-05-18T03:46:21.1702157Z + BUILD_ENVIRONMENT=linux-xenial-py3.7-clang7-asan-default
2022-05-18T03:46:21.1702674Z + [[ linux-xenial-py3.7-clang7-asan-default != *bazel* ]]
2022-05-18T03:46:21.1702961Z ++ realpath build/custom_test_artifacts
2022-05-18T03:46:21.1709083Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2022-05-18T03:46:21.1712293Z ++ dirname .jenkins/pytorch/test.sh
2022-05-18T03:46:21.1717325Z + source .jenkins/pytorch/common.sh
2022-05-18T03:46:21.1721097Z +++ dirname .jenkins/pytorch/common.sh
2022-05-18T03:46:21.1728532Z ++ source .jenkins/pytorch/common_utils.sh
2022-05-18T03:46:21.1732033Z +++ TORCHVISION_COMMIT=8a2dc6f22ac4389ccba8859aa1e1cb14f1ee53db
2022-05-18T03:46:21.1732501Z ++ set -ex
2022-05-18T03:46:21.1738044Z ++++ dirname .jenkins/pytorch/common.sh
2022-05-18T03:46:21.1746101Z +++ cd .jenkins/pytorch
2022-05-18T03:46:21.1746399Z +++ pwd -P
2022-05-18T03:46:21.1748860Z ++ SCRIPT_DIR=/var/lib/jenkins/workspace/.jenkins/pytorch
2022-05-18T03:46:21.1749288Z ++ [[ linux-xenial-py3.7-clang7-asan-default == *linux* ]]
2022-05-18T03:46:21.1753127Z +++ find /etc/apt/ -type f -name '*.list'
2022-05-18T03:46:21.1764892Z ++ sudo sed -i 's/.*nvidia.*/# &/' /etc/apt/sources.list
2022-05-18T03:46:21.1809343Z ++ [[ linux-xenial-py3.7-clang7-asan-default == *rocm* ]]
2022-05-18T03:46:21.1809821Z ++ echo ENTERED_USER_LAND
2022-05-18T03:46:21.1810012Z ENTERED_USER_LAND
2022-05-18T03:46:21.1810236Z ++ export IN_CI=1
2022-05-18T03:46:21.1810464Z ++ IN_CI=1
2022-05-18T03:46:21.1811088Z ++ declare -f -t trap_add
2022-05-18T03:46:21.1811404Z ++ trap_add cleanup EXIT
2022-05-18T03:46:21.1811859Z ++ trap_add_cmd=cleanup
2022-05-18T03:46:21.1812147Z ++ shift
2022-05-18T03:46:21.1812376Z ++ for trap_add_name in '"$@"'
2022-05-18T03:46:21.1818325Z ++++ trap -p EXIT
2022-05-18T03:46:21.1821301Z +++ eval 'extract_trap_cmd '
2022-05-18T03:46:21.1821651Z ++++ extract_trap_cmd
2022-05-18T03:46:21.1822030Z ++++ printf '%s\n' ''
2022-05-18T03:46:21.1822343Z +++ printf '%s\n' cleanup
2022-05-18T03:46:21.1823539Z ++ trap -- '
2022-05-18T03:46:21.1823721Z cleanup' EXIT
2022-05-18T03:46:21.1825747Z ++ [[ linux-xenial-py3.7-clang7-asan-default != *win-* ]]
2022-05-18T03:46:21.1826022Z ++ which sccache
2022-05-18T03:46:21.1833517Z ++ sccache --stop-server
2022-05-18T03:46:21.1853919Z ++ true
2022-05-18T03:46:21.1854188Z ++ rm -f /var/lib/jenkins/sccache_error.log
2022-05-18T03:46:21.1860687Z ++ [[ -n '' ]]
2022-05-18T03:46:21.1861054Z ++ [[ linux-xenial-py3.7-clang7-asan-default == *rocm* ]]
2022-05-18T03:46:21.1861346Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2022-05-18T03:46:21.1861560Z ++ SCCACHE_IDLE_TIMEOUT=1200
2022-05-18T03:46:21.1872826Z ++ RUST_LOG=sccache::server=error
2022-05-18T03:46:21.1873291Z ++ sccache --start-server
2022-05-18T03:46:21.1877758Z sccache: Starting the server...
2022-05-18T03:46:21.2015843Z ++ sccache --zero-stats
2022-05-18T03:46:21.2034974Z Compile requests                      0
2022-05-18T03:46:21.2035280Z Compile requests executed             0
2022-05-18T03:46:21.2035493Z Cache hits                            0
2022-05-18T03:46:21.2035691Z Cache misses                          0
2022-05-18T03:46:21.2035890Z Cache timeouts                        0
2022-05-18T03:46:21.2036094Z Cache read errors                     0
2022-05-18T03:46:21.2036352Z Forced recaches                       0
2022-05-18T03:46:21.2036554Z Cache write errors                    0
2022-05-18T03:46:21.2036749Z Compilation failures                  0
2022-05-18T03:46:21.2036955Z Cache errors                          0
2022-05-18T03:46:21.2037249Z Non-cacheable compilations            0
2022-05-18T03:46:21.2037510Z Non-cacheable calls                   0
2022-05-18T03:46:21.2037790Z Non-compilation calls                 0
2022-05-18T03:46:21.2038016Z Unsupported compiler calls            0
2022-05-18T03:46:21.2038265Z Average cache write               0.000 s
2022-05-18T03:46:21.2038517Z Average cache read miss           0.000 s
2022-05-18T03:46:21.2038730Z Average cache read hit            0.000 s
2022-05-18T03:46:21.2038954Z Failed distributed compilations       0
2022-05-18T03:46:21.2039759Z Cache location                  S3, bucket: Bucket(name=ossci-compiler-cache-circleci-v2, base_url=http://ossci-compiler-cache-circleci-v2.s3.amazonaws.com/)
2022-05-18T03:46:21.2040274Z ++ [[ linux-xenial-py3.7-clang7-asan-test == *-build ]]
2022-05-18T03:46:21.2040506Z ++ which ccache
2022-05-18T03:46:21.2046322Z ++ '[' -z linux-xenial-py3.7-clang7-asan ']'
2022-05-18T03:46:21.2046851Z ++ [[ linux-xenial-py3.7-clang7-asan-default == *linux-trusty-py3.6-gcc7* ]]
2022-05-18T03:46:21.2047223Z ++ BUILD_TEST_LIBTORCH=0
2022-05-18T03:46:21.2047518Z ++ [[ default == *xla* ]]
2022-05-18T03:46:21.2047917Z ++ [[ linux-xenial-py3.7-clang7-asan-default == *centos* ]]
2022-05-18T03:46:21.2048385Z ++ [[ linux-xenial-py3.7-clang7-asan-default == *linux-bionic* ]]
2022-05-18T03:46:21.2048784Z ++ [[ linux-xenial-py3.7-clang7-asan-default == *linux-focal* ]]
2022-05-18T03:46:21.2049055Z + echo 'Testing pytorch'
2022-05-18T03:46:21.2049245Z Testing pytorch
2022-05-18T03:46:21.2049454Z + export LANG=C.UTF-8
2022-05-18T03:46:21.2049681Z + LANG=C.UTF-8
2022-05-18T03:46:21.2050519Z + PR_NUMBER=
2022-05-18T03:46:21.2050825Z + [[ default == \d\e\f\a\u\l\t ]]
2022-05-18T03:46:21.2051085Z + export CUDA_VISIBLE_DEVICES=0
2022-05-18T03:46:21.2051369Z + CUDA_VISIBLE_DEVICES=0
2022-05-18T03:46:21.2051901Z + export HIP_VISIBLE_DEVICES=0
2022-05-18T03:46:21.2052207Z + HIP_VISIBLE_DEVICES=0
2022-05-18T03:46:21.2052509Z + [[ default == \d\i\s\t\r\i\b\u\t\e\d ]]
2022-05-18T03:46:21.2052915Z + [[ linux-xenial-py3.7-clang7-asan-default == *-slow-* ]]
2022-05-18T03:46:21.2053170Z + [[ default == \s\l\o\w ]]
2022-05-18T03:46:21.2053523Z + [[ linux-xenial-py3.7-clang7-asan-default == *slow-gradcheck* ]]
2022-05-18T03:46:21.2054026Z + [[ linux-xenial-py3.7-clang7-asan-default == *cuda* ]]
2022-05-18T03:46:21.2054553Z + [[ linux-xenial-py3.7-clang7-asan-default == *rocm* ]]
2022-05-18T03:46:21.2055063Z + [[ linux-xenial-py3.7-clang7-asan-default == *cuda11* ]]
2022-05-18T03:46:21.2055678Z + [[ linux-xenial-py3.7-clang7-asan-default == *crossref* ]]
2022-05-18T03:46:21.2056061Z + [[ -n '' ]]
2022-05-18T03:46:21.2056270Z + export PYTORCH_TEST_SKIP_CUDA_MEM_LEAK_CHECK=0
2022-05-18T03:46:21.2056502Z + PYTORCH_TEST_SKIP_CUDA_MEM_LEAK_CHECK=0
2022-05-18T03:46:21.2056823Z + [[ linux-xenial-py3.7-clang7-asan-default == *rocm* ]]
2022-05-18T03:46:21.2057245Z + [[ linux-xenial-py3.7-clang7-asan-default != *ppc64le* ]]
2022-05-18T03:46:21.2057783Z + [[ linux-xenial-py3.7-clang7-asan-default != *-bazel-* ]]
2022-05-18T03:46:21.2058234Z + pip_install --user ninja
2022-05-18T03:46:21.2058663Z + pip install --progress-bar off --user ninja
2022-05-18T03:46:21.5794010Z Collecting ninja
2022-05-18T03:46:21.5952035Z   Downloading ninja-1.10.2.3-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2022-05-18T03:46:21.6011361Z [?25l
2022-05-18T03:46:21.9167188Z [?25hInstalling collected packages: ninja
2022-05-18T03:46:21.9251719Z   WARNING: The script ninja is installed in '/var/lib/jenkins/.local/bin' which is not on PATH.
2022-05-18T03:46:21.9252415Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2022-05-18T03:46:21.9299136Z Successfully installed ninja-1.10.2.3
2022-05-18T03:46:21.9831044Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2022-05-18T03:46:21.9831760Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2022-05-18T03:46:21.9832655Z + [[ linux-xenial-py3.7-clang7-asan-default == *asan* ]]
2022-05-18T03:46:21.9833297Z + export ASAN_OPTIONS=detect_leaks=0:symbolize=1:detect_stack_use_after_return=1:strict_init_order=true:detect_odr_violation=0
2022-05-18T03:46:21.9833944Z + ASAN_OPTIONS=detect_leaks=0:symbolize=1:detect_stack_use_after_return=1:strict_init_order=true:detect_odr_violation=0
2022-05-18T03:46:21.9834393Z + export UBSAN_OPTIONS=print_stacktrace=1:suppressions=/var/lib/jenkins/workspace/ubsan.supp
2022-05-18T03:46:21.9834869Z + UBSAN_OPTIONS=print_stacktrace=1:suppressions=/var/lib/jenkins/workspace/ubsan.supp
2022-05-18T03:46:21.9835514Z + export PYTORCH_TEST_WITH_ASAN=1
2022-05-18T03:46:21.9835978Z + PYTORCH_TEST_WITH_ASAN=1
2022-05-18T03:46:21.9836610Z + export PYTORCH_TEST_WITH_UBSAN=1
2022-05-18T03:46:21.9837057Z + PYTORCH_TEST_WITH_UBSAN=1
2022-05-18T03:46:21.9837876Z + export ASAN_SYMBOLIZER_PATH=/usr/lib/llvm-7/bin/llvm-symbolizer
2022-05-18T03:46:21.9838550Z + ASAN_SYMBOLIZER_PATH=/usr/lib/llvm-7/bin/llvm-symbolizer
2022-05-18T03:46:21.9838862Z + export TORCH_USE_RTLD_GLOBAL=1
2022-05-18T03:46:21.9839130Z + TORCH_USE_RTLD_GLOBAL=1
2022-05-18T03:46:21.9839607Z + export LD_PRELOAD=/usr/lib/llvm-7/lib/clang/7.1.0/lib/linux/libclang_rt.asan-x86_64.so
2022-05-18T03:46:21.9840309Z + LD_PRELOAD=/usr/lib/llvm-7/lib/clang/7.1.0/lib/linux/libclang_rt.asan-x86_64.so
2022-05-18T03:46:21.9840681Z + ulimit -s 81920
2022-05-18T03:46:21.9841572Z + cd test
2022-05-18T03:46:21.9842035Z + python -c 'import torch; print(torch.__version__, torch.version.git_version)'
2022-05-18T03:46:23.7703431Z 1.12.0a0+git3b23752 3b2375291aab7b48442f2e6fb1ef66cebc761e24
2022-05-18T03:46:24.0378287Z + echo 'The next three invocations are expected to crash; if they don'\''t that means ASAN/UBSAN is misconfigured'
2022-05-18T03:46:24.0379184Z The next three invocations are expected to crash; if they don't that means ASAN/UBSAN is misconfigured
2022-05-18T03:46:24.0379834Z + cd test
2022-05-18T03:46:24.0380661Z + get_exit_code python -c 'import torch; torch._C._crash_if_csrc_asan(3)'
2022-05-18T03:46:24.0381129Z + set +e
2022-05-18T03:46:24.0381647Z + python -c 'import torch; torch._C._crash_if_csrc_asan(3)'
2022-05-18T03:46:25.8318369Z /var/lib/jenkins/workspace/torch/csrc/Module.cpp:152:3: runtime error: index 3 out of bounds for type 'volatile char [3]'
2022-05-18T03:46:25.9367735Z     #0 0x7f67300b0387 in THPModule_crashIfCsrcASAN(_object*, _object*) (/opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_python.so+0x26f7387)
2022-05-18T03:46:25.9968252Z     #1 0x5596ebe645dc in _PyMethodDef_RawFastCallKeywords /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:647
2022-05-18T03:46:25.9968879Z     #2 0x5596ebe9ab3f in _PyCFunction_FastCallKeywords /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:732
2022-05-18T03:46:25.9969295Z     #3 0x5596ebe9ab3f in call_function /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4568
2022-05-18T03:46:25.9969727Z     #4 0x5596ebee2701 in _PyEval_EvalFrameDefault /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3093
2022-05-18T03:46:25.9973728Z     #5 0x5596ebe33e84 in PyEval_EvalFrameEx /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547
2022-05-18T03:46:25.9974622Z     #6 0x5596ebe33e84 in _PyEval_EvalCodeWithName /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930
2022-05-18T03:46:25.9975098Z     #7 0x5596ebe35272 in PyEval_EvalCodeEx /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3959
2022-05-18T03:46:25.9975864Z     #8 0x5596ebe35272 in PyEval_EvalCode /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:524
2022-05-18T03:46:25.9976313Z     #9 0x5596ebf42c81 in run_mod /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:1037
2022-05-18T03:46:25.9977224Z     #10 0x5596ebf4dc69 in PyRun_StringFlags /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:961
2022-05-18T03:46:25.9977999Z     #11 0x5596ebf4dccb in PyRun_SimpleStringFlags /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:455
2022-05-18T03:46:25.9978789Z     #12 0x5596ebf4ddc8 in pymain_run_command /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:420
2022-05-18T03:46:25.9979442Z     #13 0x5596ebf4ddc8 in pymain_run_python /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:2907
2022-05-18T03:46:25.9979928Z     #14 0x5596ebf4ddc8 in pymain_main /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:3460
2022-05-18T03:46:26.0017525Z     #15 0x5596ebf4e18b in _Py_UnixMain /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:3495
2022-05-18T03:46:26.0570612Z     #16 0x7f67387da83f in __libc_start_main /build/glibc-S7Ft5T/glibc-2.23/csu/../csu/libc-start.c:291
2022-05-18T03:46:26.0571086Z     #17 0x5596ebef3039 in _start (/opt/conda/bin/python3.7+0x1d8039)
2022-05-18T03:46:26.0571247Z 
2022-05-18T03:46:26.0571711Z SUMMARY: UndefinedBehaviorSanitizer: undefined-behavior /var/lib/jenkins/workspace/torch/csrc/Module.cpp:152:3 in 
2022-05-18T03:46:26.0873793Z + retcode=1
2022-05-18T03:46:26.0878166Z + set -e
2022-05-18T03:46:26.0878451Z + return 1
2022-05-18T03:46:26.0878658Z + cd test
2022-05-18T03:46:26.0879085Z + get_exit_code python -c 'import torch; torch._C._crash_if_csrc_ubsan(0)'
2022-05-18T03:46:26.0879325Z + set +e
2022-05-18T03:46:26.0879630Z + python -c 'import torch; torch._C._crash_if_csrc_ubsan(0)'
2022-05-18T03:46:27.8583706Z /var/lib/jenkins/workspace/torch/csrc/Module.cpp:161:18: runtime error: division by zero
2022-05-18T03:46:27.9525300Z     #0 0x7f5c9c5495d5 in THPModule_crashIfCsrcUBSAN(_object*, _object*) (/opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_python.so+0x26f75d5)
2022-05-18T03:46:28.0116857Z     #1 0x55f5947fd5dc in _PyMethodDef_RawFastCallKeywords /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:647
2022-05-18T03:46:28.0117402Z     #2 0x55f594833b3f in _PyCFunction_FastCallKeywords /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:732
2022-05-18T03:46:28.0117799Z     #3 0x55f594833b3f in call_function /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4568
2022-05-18T03:46:28.0118211Z     #4 0x55f59487b701 in _PyEval_EvalFrameDefault /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3093
2022-05-18T03:46:28.0118638Z     #5 0x55f5947cce84 in PyEval_EvalFrameEx /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547
2022-05-18T03:46:28.0119130Z     #6 0x55f5947cce84 in _PyEval_EvalCodeWithName /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930
2022-05-18T03:46:28.0119864Z     #7 0x55f5947ce272 in PyEval_EvalCodeEx /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3959
2022-05-18T03:46:28.0120320Z     #8 0x55f5947ce272 in PyEval_EvalCode /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:524
2022-05-18T03:46:28.0120756Z     #9 0x55f5948dbc81 in run_mod /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:1037
2022-05-18T03:46:28.0121697Z     #10 0x55f5948e6c69 in PyRun_StringFlags /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:961
2022-05-18T03:46:28.0122504Z     #11 0x55f5948e6ccb in PyRun_SimpleStringFlags /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:455
2022-05-18T03:46:28.0123735Z     #12 0x55f5948e6dc8 in pymain_run_command /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:420
2022-05-18T03:46:28.0124210Z     #13 0x55f5948e6dc8 in pymain_run_python /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:2907
2022-05-18T03:46:28.0124672Z     #14 0x55f5948e6dc8 in pymain_main /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:3460
2022-05-18T03:46:28.0125388Z     #15 0x55f5948e718b in _Py_UnixMain /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:3495
2022-05-18T03:46:28.0630032Z     #16 0x7f5ca4c7483f in __libc_start_main /build/glibc-S7Ft5T/glibc-2.23/csu/../csu/libc-start.c:291
2022-05-18T03:46:28.0630410Z     #17 0x55f59488c039 in _start (/opt/conda/bin/python3.7+0x1d8039)
2022-05-18T03:46:28.0630557Z 
2022-05-18T03:46:28.0630874Z SUMMARY: UndefinedBehaviorSanitizer: undefined-behavior /var/lib/jenkins/workspace/torch/csrc/Module.cpp:161:18 in 
2022-05-18T03:46:28.0873405Z + retcode=1
2022-05-18T03:46:28.0873754Z + set -e
2022-05-18T03:46:28.0874038Z + return 1
2022-05-18T03:46:28.0878267Z + cd test
2022-05-18T03:46:28.0879377Z + get_exit_code python -c 'import torch; torch._C._crash_if_aten_asan(3)'
2022-05-18T03:46:28.0879668Z + set +e
2022-05-18T03:46:28.0880006Z + python -c 'import torch; torch._C._crash_if_aten_asan(3)'
2022-05-18T03:46:29.8766260Z /var/lib/jenkins/workspace/aten/src/ATen/Utils.cpp:20:3: runtime error: index 3 out of bounds for type 'volatile char [3]'
2022-05-18T03:46:30.4033338Z     #0 0x7f1a1092ad34 in at::_crash_if_asan(int) (/opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so+0xba95d34)
2022-05-18T03:46:30.4536883Z     #1 0x7f1a36a9a70b in THPModule_crashIfATenASAN(_object*, _object*) (/opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_python.so+0x26f770b)
2022-05-18T03:46:30.5134783Z     #2 0x5578c69ab5dc in _PyMethodDef_RawFastCallKeywords /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:647
2022-05-18T03:46:30.5135403Z     #3 0x5578c69e1b3f in _PyCFunction_FastCallKeywords /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:732
2022-05-18T03:46:30.5135988Z     #4 0x5578c69e1b3f in call_function /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4568
2022-05-18T03:46:30.5136702Z     #5 0x5578c6a29701 in _PyEval_EvalFrameDefault /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3093
2022-05-18T03:46:30.5137259Z     #6 0x5578c697ae84 in PyEval_EvalFrameEx /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547
2022-05-18T03:46:30.5137792Z     #7 0x5578c697ae84 in _PyEval_EvalCodeWithName /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930
2022-05-18T03:46:30.5138663Z     #8 0x5578c697c272 in PyEval_EvalCodeEx /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3959
2022-05-18T03:46:30.5139238Z     #9 0x5578c697c272 in PyEval_EvalCode /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:524
2022-05-18T03:46:30.5139655Z     #10 0x5578c6a89c81 in run_mod /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:1037
2022-05-18T03:46:30.5140308Z     #11 0x5578c6a94c69 in PyRun_StringFlags /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:961
2022-05-18T03:46:30.5141162Z     #12 0x5578c6a94ccb in PyRun_SimpleStringFlags /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:455
2022-05-18T03:46:30.5141987Z     #13 0x5578c6a94dc8 in pymain_run_command /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:420
2022-05-18T03:46:30.5142654Z     #14 0x5578c6a94dc8 in pymain_run_python /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:2907
2022-05-18T03:46:30.5143057Z     #15 0x5578c6a94dc8 in pymain_main /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:3460
2022-05-18T03:46:30.5143412Z     #16 0x5578c6a9518b in _Py_UnixMain /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:3495
2022-05-18T03:46:30.5643734Z     #17 0x7f1a3f1c583f in __libc_start_main /build/glibc-S7Ft5T/glibc-2.23/csu/../csu/libc-start.c:291
2022-05-18T03:46:30.5644091Z     #18 0x5578c6a3a039 in _start (/opt/conda/bin/python3.7+0x1d8039)
2022-05-18T03:46:30.5644264Z 
2022-05-18T03:46:30.5644575Z SUMMARY: UndefinedBehaviorSanitizer: undefined-behavior /var/lib/jenkins/workspace/aten/src/ATen/Utils.cpp:20:3 in 
2022-05-18T03:46:30.5874988Z + retcode=1
2022-05-18T03:46:30.5875330Z + set -e
2022-05-18T03:46:30.5875604Z + return 1
2022-05-18T03:46:30.5879158Z + [[ linux-xenial-py3.7-clang7-asan-default == *-NO_AVX-* ]]
2022-05-18T03:46:30.5879679Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X ]]
2022-05-18T03:46:30.5880266Z + [[ linux-xenial-py3.7-clang7-asan-default == *-NO_AVX2-* ]]
2022-05-18T03:46:30.5880739Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2022-05-18T03:46:30.5881330Z + [[ linux-xenial-py3.7-clang7-asan-default == *-NO_AVX512-* ]]
2022-05-18T03:46:30.5881815Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\5\1\2 ]]
2022-05-18T03:46:30.5884685Z + [[ linux-xenial-py3.7-clang7-asan-default == *tbb* ]]
2022-05-18T03:46:30.5896959Z + [[ linux-xenial-py3.7-clang7-asan-default == *libtorch* ]]
2022-05-18T03:46:30.5897618Z + [[ linux-xenial-py3.7-clang7-asan-default == *-bazel-* ]]
2022-05-18T03:46:30.5899698Z + cd test
2022-05-18T03:46:30.5900666Z + python -c 'import torch; print(torch.__config__.show())'
2022-05-18T03:46:32.3583693Z PyTorch built with:
2022-05-18T03:46:32.3584336Z   - GCC 4.2
2022-05-18T03:46:32.3584656Z   - C++ Version: 201402
2022-05-18T03:46:32.3584908Z   - clang 7.1.0
2022-05-18T03:46:32.3585311Z   - Intel(R) oneAPI Math Kernel Library Version 2022.0-Product Build 20211112 for Intel(R) 64 architecture applications
2022-05-18T03:46:32.3585658Z   - OpenMP 201107 (a.k.a. OpenMP 3.1)
2022-05-18T03:46:32.3585941Z   - LAPACK is enabled (usually provided by MKL)
2022-05-18T03:46:32.3586173Z   - NNPACK is enabled
2022-05-18T03:46:32.3586416Z   - CPU capability usage: AVX512
2022-05-18T03:46:32.3589543Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CXX_COMPILER=/opt/cache/bin/clang++, CXX_FLAGS=-fsanitize=undefined -fsanitize=address  -fno-sanitize-recover=all -fsanitize-address-use-after-scope -shared-libasan -pthread -Wno-deprecated -fvisibility-inlines-hidden -fsanitize=address -fPIE -DUSE_PTHREADPOOL -fopenmp=libomp -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-range-loop-analysis -Wno-pass-failed -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -Wno-invalid-partial-specialization -Wno-typedef-redefinition -Wno-unknown-warning-option -Wno-unused-private-field -Wno-inconsistent-missing-override -Wno-aligned-allocation-unavailable -Wno-c++14-extensions -Wno-constexpr-not-const -Wno-missing-braces -Qunused-arguments -fcolor-diagnostics -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.12.0, USE_CUDA=0, USE_CUDNN=OFF, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, 
2022-05-18T03:46:32.3591895Z 
2022-05-18T03:46:32.6209124Z + cd test
2022-05-18T03:46:32.6209563Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2022-05-18T03:46:34.3856760Z ATen/Parallel:
2022-05-18T03:46:34.3857075Z 	at::get_num_threads() : 4
2022-05-18T03:46:34.3857416Z 	at::get_num_interop_threads() : 4
2022-05-18T03:46:34.3857838Z OpenMP 201107 (a.k.a. OpenMP 3.1)
2022-05-18T03:46:34.3858172Z 	omp_get_max_threads() : 4
2022-05-18T03:46:34.3858684Z Intel(R) oneAPI Math Kernel Library Version 2022.0-Product Build 20211112 for Intel(R) 64 architecture applications
2022-05-18T03:46:34.3858976Z 	mkl_get_max_threads() : 4
2022-05-18T03:46:34.3859161Z MKLDNN not found
2022-05-18T03:46:34.3859353Z std::thread::hardware_concurrency() : 8
2022-05-18T03:46:34.3859567Z Environment variables:
2022-05-18T03:46:34.3859766Z 	OMP_NUM_THREADS : [not set]
2022-05-18T03:46:34.3859949Z 	MKL_NUM_THREADS : [not set]
2022-05-18T03:46:34.3860152Z ATen parallel backend: OpenMP
2022-05-18T03:46:34.3860282Z 
2022-05-18T03:46:34.6483681Z + [[ linux-xenial-py3.7-clang7-asan-default == *deploy* ]]
2022-05-18T03:46:34.6484272Z + [[ linux-xenial-py3.7-clang7-asan-default == *backward* ]]
2022-05-18T03:46:34.6484524Z + [[ default == *xla* ]]
2022-05-18T03:46:34.6484854Z + [[ linux-xenial-py3.7-clang7-asan-default == *jit_legacy-test ]]
2022-05-18T03:46:34.6485213Z + [[ linux-xenial-py3.7-clang7-asan-test == *jit_legacy-test ]]
2022-05-18T03:46:34.6485476Z + [[ default == \j\i\t\_\l\e\g\a\c\y ]]
2022-05-18T03:46:34.6485996Z + [[ linux-xenial-py3.7-clang7-asan-default == *libtorch* ]]
2022-05-18T03:46:34.6486396Z + [[ linux-xenial-py3.7-clang7-asan-default == *distributed* ]]
2022-05-18T03:46:34.6486827Z + [[ linux-xenial-py3.7-clang7-asan-test == *distributed* ]]
2022-05-18T03:46:34.6487059Z + [[ 1 == 1 ]]
2022-05-18T03:46:34.6487248Z + [[ 5 -gt 1 ]]
2022-05-18T03:46:34.6487408Z + test_without_numpy
2022-05-18T03:46:34.6487663Z ++ dirname .jenkins/pytorch/test.sh
2022-05-18T03:46:34.6532046Z + pushd .jenkins/pytorch
2022-05-18T03:46:34.6532382Z ~/workspace/.jenkins/pytorch ~/workspace
2022-05-18T03:46:34.6533209Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');from unittest import TestCase;import torch;x=torch.randn(3,3);TestCase().assertRaises(RuntimeError, lambda: x.numpy())'
2022-05-18T03:46:36.2909503Z -c:1: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at  /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:68.)
2022-05-18T03:46:36.5495814Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch;print(torch.tensor([torch.tensor(0.), torch.tensor(1.)]))'
2022-05-18T03:46:38.1875435Z -c:1: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at  /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:68.)
2022-05-18T03:46:38.1902755Z tensor([0., 1.])
2022-05-18T03:46:38.4466411Z + popd
2022-05-18T03:46:38.4466753Z ~/workspace
2022-05-18T03:46:38.4467079Z + install_torchvision
2022-05-18T03:46:38.4467728Z + pip_install --user git+https://github.com/pytorch/vision.git@8a2dc6f22ac4389ccba8859aa1e1cb14f1ee53db
2022-05-18T03:46:38.4468266Z + pip install --progress-bar off --user git+https://github.com/pytorch/vision.git@8a2dc6f22ac4389ccba8859aa1e1cb14f1ee53db
2022-05-18T03:46:38.8647740Z Collecting git+https://github.com/pytorch/vision.git@8a2dc6f22ac4389ccba8859aa1e1cb14f1ee53db
2022-05-18T03:46:38.8678737Z   Cloning https://github.com/pytorch/vision.git (to revision 8a2dc6f22ac4389ccba8859aa1e1cb14f1ee53db) to /tmp/pip-req-build-fb208qli
2022-05-18T03:46:38.8679390Z   Running command git clone -q https://github.com/pytorch/vision.git /tmp/pip-req-build-fb208qli
2022-05-18T03:46:49.7903869Z   Running command git rev-parse -q --verify 'sha^8a2dc6f22ac4389ccba8859aa1e1cb14f1ee53db'
2022-05-18T03:46:49.8003115Z   Running command git fetch -q https://github.com/pytorch/vision.git 8a2dc6f22ac4389ccba8859aa1e1cb14f1ee53db
2022-05-18T03:46:50.1111677Z   Running command git checkout -q 8a2dc6f22ac4389ccba8859aa1e1cb14f1ee53db
2022-05-18T03:46:50.3289055Z   Resolved https://github.com/pytorch/vision.git to commit 8a2dc6f22ac4389ccba8859aa1e1cb14f1ee53db
2022-05-18T03:46:54.1140434Z Requirement already satisfied: numpy in /opt/conda/lib/python3.7/site-packages (from torchvision==0.9.0a0+8a2dc6f) (1.18.5)
2022-05-18T03:46:54.1148221Z Requirement already satisfied: torch in /opt/conda/lib/python3.7/site-packages (from torchvision==0.9.0a0+8a2dc6f) (1.12.0a0+git3b23752)
2022-05-18T03:46:54.1157450Z Requirement already satisfied: pillow>=4.1.1 in /opt/conda/lib/python3.7/site-packages (from torchvision==0.9.0a0+8a2dc6f) (9.1.0)
2022-05-18T03:46:54.1441666Z Requirement already satisfied: typing-extensions in /opt/conda/lib/python3.7/site-packages (from torch->torchvision==0.9.0a0+8a2dc6f) (4.1.1)
2022-05-18T03:46:54.1455897Z Building wheels for collected packages: torchvision
2022-05-18T03:48:05.0522580Z   Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done
2022-05-18T03:48:05.0833432Z [?25h  Created wheel for torchvision: filename=torchvision-0.9.0a0+8a2dc6f-cp37-cp37m-linux_x86_64.whl size=10568403 sha256=6a3b8c74adb0a6c4aef431177ef2f060eca2d77f4e1b5ef7a43027b9f36c4753
2022-05-18T03:48:05.0834029Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/26/96/c4/1735c76d8da02cdfd8d202d6c1a3338d784d390e1b48399a0b
2022-05-18T03:48:05.0876972Z Successfully built torchvision
2022-05-18T03:48:05.4560106Z Installing collected packages: torchvision
2022-05-18T03:48:05.9257898Z Successfully installed torchvision-0.9.0a0+8a2dc6f
2022-05-18T03:48:06.1292661Z + test_python_shard 1
2022-05-18T03:48:06.1293000Z + [[ -z 5 ]]
2022-05-18T03:48:06.1293372Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --shard 1 5 --verbose
2022-05-18T03:48:10.2646255Z Ignoring disabled issues:  []
2022-05-18T03:48:16.0327720Z Exporting S3 test stats to .pytorch-test-times.json.
2022-05-18T03:48:16.0640878Z Selected tests:
2022-05-18T03:48:16.0641088Z  test_ops_jit
2022-05-18T03:48:16.0641258Z  test_cuda
2022-05-18T03:48:16.0642632Z  test_jiterator
2022-05-18T03:48:16.1170172Z Prioritized test from test file changes.
2022-05-18T03:48:16.1170555Z reordering tests for PR:
2022-05-18T03:48:16.1170747Z prioritized: []
2022-05-18T03:48:16.1171946Z the rest: ['test_ops_jit', 'test_cuda', 'test_jiterator']
2022-05-18T03:48:16.1172229Z 
2022-05-18T03:48:16.1870386Z Running test_ops_jit ... [2022-05-18 03:48:16.186733]
2022-05-18T03:48:16.1870874Z Executing ['/opt/conda/bin/python', 'test_ops_jit.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-05-18 03:48:16.186790]
2022-05-18T03:48:20.4369519Z Test results will be stored in test-reports/python-unittest/test_ops_jit
2022-05-18T03:48:20.4967742Z 
2022-05-18T03:48:20.4967901Z Running tests...
2022-05-18T03:48:20.4969021Z ----------------------------------------------------------------------
2022-05-18T03:48:20.9476039Z   test_jit_alias_remapping_abs_cpu_float32 (__main__.TestJitCPU) ... ok (0.451s)
2022-05-18T03:48:20.9793344Z   test_jit_alias_remapping_acos_cpu_float32 (__main__.TestJitCPU) ... ok (0.032s)
2022-05-18T03:48:21.0107927Z   test_jit_alias_remapping_acosh_cpu_float32 (__main__.TestJitCPU) ... ok (0.031s)
2022-05-18T03:48:21.0402964Z   test_jit_alias_remapping_asin_cpu_float32 (__main__.TestJitCPU) ... ok (0.029s)
2022-05-18T03:48:21.0676439Z   test_jit_alias_remapping_asinh_cpu_float32 (__main__.TestJitCPU) ... ok (0.027s)
2022-05-18T03:48:21.0856618Z   test_jit_alias_remapping_atan2_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.018s)
2022-05-18T03:48:21.1152458Z   test_jit_alias_remapping_atan_cpu_float32 (__main__.TestJitCPU) ... ok (0.029s)
2022-05-18T03:48:21.1439119Z   test_jit_alias_remapping_atanh_cpu_float32 (__main__.TestJitCPU) ... ok (0.029s)
2022-05-18T03:48:21.1539489Z   test_jit_alias_remapping_cat_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.010s)
2022-05-18T03:48:21.4033454Z   test_jit_alias_remapping_clamp_cpu_float32 (__main__.TestJitCPU) ... ok (0.249s)
2022-05-18T03:48:21.4389591Z   test_jit_alias_remapping_clamp_scalar_cpu_float32 (__main__.TestJitCPU) ... ok (0.036s)
2022-05-18T03:48:21.4536114Z   test_jit_alias_remapping_diagonal_cpu_float32 (__main__.TestJitCPU) ... ok (0.015s)
2022-05-18T03:48:21.4750809Z   test_jit_alias_remapping_digamma_cpu_float32 (__main__.TestJitCPU) ... ok (0.021s)
2022-05-18T03:48:21.5162607Z   test_jit_alias_remapping_div_floor_rounding_cpu_float32 (__main__.TestJitCPU) ... ok (0.041s)
2022-05-18T03:48:21.5465226Z   test_jit_alias_remapping_div_no_rounding_mode_cpu_float32 (__main__.TestJitCPU) ... ok (0.030s)
2022-05-18T03:48:21.5808344Z   test_jit_alias_remapping_div_trunc_rounding_cpu_float32 (__main__.TestJitCPU) ... ok (0.034s)
2022-05-18T03:48:21.5934920Z   test_jit_alias_remapping_erf_cpu_float32 (__main__.TestJitCPU) ... ok (0.013s)
2022-05-18T03:48:21.6060422Z   test_jit_alias_remapping_erfc_cpu_float32 (__main__.TestJitCPU) ... ok (0.012s)
2022-05-18T03:48:21.6191810Z   test_jit_alias_remapping_erfinv_cpu_float32 (__main__.TestJitCPU) ... ok (0.013s)
2022-05-18T03:48:21.6319114Z   test_jit_alias_remapping_exp2_cpu_float32 (__main__.TestJitCPU) ... ok (0.013s)
2022-05-18T03:48:21.6446406Z   test_jit_alias_remapping_expm1_cpu_float32 (__main__.TestJitCPU) ... ok (0.013s)
2022-05-18T03:48:21.6899960Z   test_jit_alias_remapping_ge_cpu_float32 (__main__.TestJitCPU) ... ok (0.045s)
2022-05-18T03:48:21.7199230Z   test_jit_alias_remapping_gt_cpu_float32 (__main__.TestJitCPU) ... ok (0.030s)
2022-05-18T03:48:21.7358985Z   test_jit_alias_remapping_i0_cpu_float32 (__main__.TestJitCPU) ... ok (0.016s)
2022-05-18T03:48:21.7433835Z   test_jit_alias_remapping_igamma_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.007s)
2022-05-18T03:48:21.7494817Z   test_jit_alias_remapping_igammac_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.006s)
2022-05-18T03:48:21.7834424Z   test_jit_alias_remapping_le_cpu_float32 (__main__.TestJitCPU) ... ok (0.034s)
2022-05-18T03:48:21.7972071Z   test_jit_alias_remapping_lgamma_cpu_float32 (__main__.TestJitCPU) ... ok (0.014s)
2022-05-18T03:48:21.9111334Z   test_jit_alias_remapping_linalg_det_cpu_float32 (__main__.TestJitCPU) ... ok (0.114s)
2022-05-18T03:48:21.9462361Z   test_jit_alias_remapping_linalg_householder_product_cpu_float32 (__main__.TestJitCPU) ... ok (0.035s)
2022-05-18T03:48:21.9697842Z   test_jit_alias_remapping_linalg_matrix_power_cpu_float32 (__main__.TestJitCPU) ... ok (0.023s)
2022-05-18T03:48:21.9830707Z   test_jit_alias_remapping_log1p_cpu_float32 (__main__.TestJitCPU) ... ok (0.013s)
2022-05-18T03:48:22.0225288Z   test_jit_alias_remapping_log_softmax_cpu_float32 (__main__.TestJitCPU) ... ok (0.039s)
2022-05-18T03:48:22.0480422Z   test_jit_alias_remapping_log_softmax_dtype_cpu_float32 (__main__.TestJitCPU) ... ok (0.025s)
2022-05-18T03:48:22.0652347Z   test_jit_alias_remapping_logit_cpu_float32 (__main__.TestJitCPU) ... ok (0.017s)
2022-05-18T03:48:22.0896330Z   test_jit_alias_remapping_logsumexp_cpu_float32 (__main__.TestJitCPU) ... ok (0.024s)
2022-05-18T03:48:22.1207078Z   test_jit_alias_remapping_lt_cpu_float32 (__main__.TestJitCPU) ... ok (0.031s)
2022-05-18T03:48:22.1423773Z   test_jit_alias_remapping_mH_cpu_float32 (__main__.TestJitCPU) ... ok (0.022s)
2022-05-18T03:48:22.1713047Z   test_jit_alias_remapping_matmul_cpu_float32 (__main__.TestJitCPU) ... ok (0.029s)
2022-05-18T03:48:22.2094419Z   test_jit_alias_remapping_matrix_exp_cpu_float32 (__main__.TestJitCPU) ... ok (0.038s)
2022-05-18T03:48:22.2151122Z   test_jit_alias_remapping_max_binary_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.006s)
2022-05-18T03:48:22.2229211Z   test_jit_alias_remapping_min_binary_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.008s)
2022-05-18T03:48:22.2475629Z   test_jit_alias_remapping_movedim_cpu_float32 (__main__.TestJitCPU) ... ok (0.025s)
2022-05-18T03:48:22.2773876Z   test_jit_alias_remapping_mul_cpu_float32 (__main__.TestJitCPU) ... ok (0.030s)
2022-05-18T03:48:22.2930518Z   test_jit_alias_remapping_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestJitCPU) ... ok (0.016s)
2022-05-18T03:48:22.2965413Z   test_jit_alias_remapping_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.003s)
2022-05-18T03:48:22.2999974Z   test_jit_alias_remapping_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.003s)
2022-05-18T03:48:22.3306029Z   test_jit_alias_remapping_ne_cpu_float32 (__main__.TestJitCPU) ... ok (0.030s)
2022-05-18T03:48:22.3613787Z   test_jit_alias_remapping_neg_cpu_float32 (__main__.TestJitCPU) ... ok (0.031s)
2022-05-18T03:48:22.4029411Z   test_jit_alias_remapping_nn_functional_conv1d_cpu_float32 (__main__.TestJitCPU) ... ok (0.041s)
2022-05-18T03:48:22.4432123Z   test_jit_alias_remapping_nn_functional_conv2d_cpu_float32 (__main__.TestJitCPU) ... ok (0.040s)
2022-05-18T03:48:22.4807769Z   test_jit_alias_remapping_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestJitCPU) ... ok (0.037s)
2022-05-18T03:48:22.5191437Z   test_jit_alias_remapping_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestJitCPU) ... ok (0.038s)
2022-05-18T03:48:22.5898358Z   test_jit_alias_remapping_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestJitCPU) ... ok (0.071s)
2022-05-18T03:48:22.6215861Z   test_jit_alias_remapping_nn_functional_group_norm_cpu_float32 (__main__.TestJitCPU) ... ok (0.032s)
2022-05-18T03:48:22.6468973Z   test_jit_alias_remapping_nn_functional_layer_norm_cpu_float32 (__main__.TestJitCPU) ... ok (0.025s)
2022-05-18T03:48:22.6749948Z   test_jit_alias_remapping_outer_cpu_float32 (__main__.TestJitCPU) ... ok (0.028s)
2022-05-18T03:48:22.6878292Z   test_jit_alias_remapping_round_cpu_float32 (__main__.TestJitCPU) ... ok (0.013s)
2022-05-18T03:48:22.7007693Z   test_jit_alias_remapping_round_decimals_0_cpu_float32 (__main__.TestJitCPU) ... ok (0.013s)
2022-05-18T03:48:22.7046658Z   test_jit_alias_remapping_round_decimals_3_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T03:48:22.7083790Z   test_jit_alias_remapping_round_decimals_neg_3_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T03:48:22.7279043Z   test_jit_alias_remapping_sigmoid_cpu_float32 (__main__.TestJitCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1909: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-05-18T03:48:22.7279854Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-05-18T03:48:22.7350109Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1909: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-05-18T03:48:22.7350838Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-05-18T03:48:22.7382072Z expected failure (0.030s)
2022-05-18T03:48:22.7527118Z   test_jit_alias_remapping_sinc_cpu_float32 (__main__.TestJitCPU) ... ok (0.014s)
2022-05-18T03:48:22.7880362Z   test_jit_alias_remapping_softmax_cpu_float32 (__main__.TestJitCPU) ... ok (0.035s)
2022-05-18T03:48:22.8139315Z   test_jit_alias_remapping_softmax_with_dtype_cpu_float32 (__main__.TestJitCPU) ... ok (0.026s)
2022-05-18T03:48:22.8460434Z   test_jit_alias_remapping_sub_cpu_float32 (__main__.TestJitCPU) ... ok (0.032s)
2022-05-18T03:48:22.8559234Z   test_jit_alias_remapping_tanh_cpu_float32 (__main__.TestJitCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1898: UserWarning: nn.functional.tanh is deprecated. Use torch.tanh instead.
2022-05-18T03:48:22.8559717Z   warnings.warn("nn.functional.tanh is deprecated. Use torch.tanh instead.")
2022-05-18T03:48:22.8625876Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1898: UserWarning: nn.functional.tanh is deprecated. Use torch.tanh instead.
2022-05-18T03:48:22.8626453Z   warnings.warn("nn.functional.tanh is deprecated. Use torch.tanh instead.")
2022-05-18T03:48:22.8631812Z expected failure (0.017s)
2022-05-18T03:48:22.9225372Z   test_jit_alias_remapping_transpose_cpu_float32 (__main__.TestJitCPU) ... ok (0.059s)
2022-05-18T03:48:22.9516025Z   test_jit_alias_remapping_trunc_cpu_float32 (__main__.TestJitCPU) ... ok (0.029s)
2022-05-18T03:48:22.9672943Z   test_jit_alias_remapping_vstack_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.016s)
2022-05-18T03:48:22.9821518Z   test_jit_alias_remapping_xlogy_cpu_float32 (__main__.TestJitCPU) ... ok (0.015s)
2022-05-18T03:48:22.9887916Z   test_variant_consistency_jit_H_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.007s)
2022-05-18T03:48:22.9939557Z   test_variant_consistency_jit_H_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.005s)
2022-05-18T03:48:23.0014622Z   test_variant_consistency_jit_T_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.007s)
2022-05-18T03:48:23.0060312Z   test_variant_consistency_jit_T_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.005s)
2022-05-18T03:48:30.2243003Z   test_variant_consistency_jit___getitem___cpu_complex64 (__main__.TestJitCPU) ... ok (7.218s)
2022-05-18T03:48:35.5660011Z   test_variant_consistency_jit___getitem___cpu_float32 (__main__.TestJitCPU) ... ok (5.342s)
2022-05-18T03:48:35.5885700Z   test_variant_consistency_jit___radd___cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.023s)
2022-05-18T03:48:35.6065844Z   test_variant_consistency_jit___radd___cpu_float32 (__main__.TestJitCPU) ... expected failure (0.018s)
2022-05-18T03:48:35.6314673Z   test_variant_consistency_jit___rdiv___cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.025s)
2022-05-18T03:48:35.6378761Z   test_variant_consistency_jit___rdiv___cpu_float32 (__main__.TestJitCPU) ... expected failure (0.006s)
2022-05-18T03:48:35.6709954Z   test_variant_consistency_jit___rmatmul___cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.033s)
2022-05-18T03:48:35.6838442Z   test_variant_consistency_jit___rmatmul___cpu_float32 (__main__.TestJitCPU) ... expected failure (0.013s)
2022-05-18T03:48:35.6926995Z   test_variant_consistency_jit___rmod___cpu_float32 (__main__.TestJitCPU) ... expected failure (0.009s)
2022-05-18T03:48:35.7152109Z   test_variant_consistency_jit___rmul___cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.022s)
2022-05-18T03:48:35.7215477Z   test_variant_consistency_jit___rmul___cpu_float32 (__main__.TestJitCPU) ... expected failure (0.006s)
2022-05-18T03:48:35.7449926Z   test_variant_consistency_jit___rpow___cpu_complex64 (__main__.TestJitCPU) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:668: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T03:48:35.7450512Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2022-05-18T03:48:35.7462290Z expected failure (0.025s)
2022-05-18T03:48:35.7535799Z   test_variant_consistency_jit___rpow___cpu_float32 (__main__.TestJitCPU) ... expected failure (0.007s)
2022-05-18T03:48:35.7757597Z   test_variant_consistency_jit___rsub___cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.022s)
2022-05-18T03:48:35.7819356Z   test_variant_consistency_jit___rsub___cpu_float32 (__main__.TestJitCPU) ... expected failure (0.006s)
2022-05-18T03:48:35.7859986Z   test_variant_consistency_jit__masked_amax_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T03:48:35.8088526Z   test_variant_consistency_jit__masked_amin_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.023s)
2022-05-18T03:48:35.8246569Z   test_variant_consistency_jit__masked_argmax_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.015s)
2022-05-18T03:48:35.8389773Z   test_variant_consistency_jit__masked_argmin_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.014s)
2022-05-18T03:48:35.8482866Z   test_variant_consistency_jit__masked_log_softmax_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.009s)
2022-05-18T03:48:35.8705039Z   test_variant_consistency_jit__masked_mean_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.022s)
2022-05-18T03:48:35.8845193Z   test_variant_consistency_jit__masked_mean_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.013s)
2022-05-18T03:48:35.9319050Z   test_variant_consistency_jit__masked_norm_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.047s)
2022-05-18T03:48:35.9490654Z   test_variant_consistency_jit__masked_normalize_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.016s)
2022-05-18T03:48:35.9722882Z   test_variant_consistency_jit__masked_prod_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.023s)
2022-05-18T03:48:35.9994723Z   test_variant_consistency_jit__masked_prod_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.026s)
2022-05-18T03:48:36.0098158Z   test_variant_consistency_jit__masked_softmax_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.010s)
2022-05-18T03:48:36.0194167Z   test_variant_consistency_jit__masked_softmin_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.009s)
2022-05-18T03:48:36.1288936Z   test_variant_consistency_jit__masked_std_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.109s)
2022-05-18T03:48:36.1840577Z   test_variant_consistency_jit__masked_std_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.054s)
2022-05-18T03:48:36.2059566Z   test_variant_consistency_jit__masked_sum_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.022s)
2022-05-18T03:48:36.2198867Z   test_variant_consistency_jit__masked_sum_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.013s)
2022-05-18T03:48:36.3253155Z   test_variant_consistency_jit__masked_var_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.105s)
2022-05-18T03:48:36.3813669Z   test_variant_consistency_jit__masked_var_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.055s)
2022-05-18T03:48:37.0610086Z   test_variant_consistency_jit_abs_cpu_complex64 (__main__.TestJitCPU) ... ok (0.679s)
2022-05-18T03:48:37.4005552Z   test_variant_consistency_jit_abs_cpu_float32 (__main__.TestJitCPU) ... ok (0.339s)
2022-05-18T03:48:39.3422842Z   test_variant_consistency_jit_acos_cpu_complex64 (__main__.TestJitCPU) ... ok (1.942s)
2022-05-18T03:48:40.3431420Z   test_variant_consistency_jit_acos_cpu_float32 (__main__.TestJitCPU) ... ok (1.001s)
2022-05-18T03:48:42.0515379Z   test_variant_consistency_jit_acosh_cpu_complex64 (__main__.TestJitCPU) ... ok (1.708s)
2022-05-18T03:48:42.9388253Z   test_variant_consistency_jit_acosh_cpu_float32 (__main__.TestJitCPU) ... ok (0.887s)
2022-05-18T03:48:51.5662332Z   test_variant_consistency_jit_add_cpu_complex64 (__main__.TestJitCPU) ... ok (8.627s)
2022-05-18T03:48:56.1721701Z   test_variant_consistency_jit_add_cpu_float32 (__main__.TestJitCPU) ... ok (4.606s)
2022-05-18T03:49:06.0689591Z   test_variant_consistency_jit_addbmm_cpu_complex64 (__main__.TestJitCPU) ... ok (9.897s)
2022-05-18T03:49:08.3876381Z   test_variant_consistency_jit_addbmm_cpu_float32 (__main__.TestJitCPU) ... ok (2.319s)
2022-05-18T03:49:17.4622153Z   test_variant_consistency_jit_addcdiv_cpu_complex64 (__main__.TestJitCPU) ... ok (9.075s)
2022-05-18T03:49:21.8590286Z   test_variant_consistency_jit_addcdiv_cpu_float32 (__main__.TestJitCPU) ... ok (4.397s)
2022-05-18T03:49:32.6033342Z   test_variant_consistency_jit_addcmul_cpu_complex64 (__main__.TestJitCPU) ... ok (10.744s)
2022-05-18T03:49:38.5461989Z   test_variant_consistency_jit_addcmul_cpu_float32 (__main__.TestJitCPU) ... ok (5.943s)
2022-05-18T03:49:43.3427599Z   test_variant_consistency_jit_addmm_cpu_complex64 (__main__.TestJitCPU) ... ok (4.796s)
2022-05-18T03:49:44.8478450Z   test_variant_consistency_jit_addmm_cpu_float32 (__main__.TestJitCPU) ... ok (1.505s)
2022-05-18T03:49:49.7415751Z   test_variant_consistency_jit_addmm_decomposed_cpu_complex64 (__main__.TestJitCPU) ... ok (4.894s)
2022-05-18T03:49:51.2934881Z   test_variant_consistency_jit_addmm_decomposed_cpu_float32 (__main__.TestJitCPU) ... ok (1.552s)
2022-05-18T03:49:55.8786958Z   test_variant_consistency_jit_addmv_cpu_complex64 (__main__.TestJitCPU) ... ok (4.585s)
2022-05-18T03:49:58.1803394Z   test_variant_consistency_jit_addmv_cpu_float32 (__main__.TestJitCPU) ... ok (2.301s)
2022-05-18T03:50:01.3377508Z   test_variant_consistency_jit_addr_cpu_complex64 (__main__.TestJitCPU) ... ok (3.157s)
2022-05-18T03:50:02.9627696Z   test_variant_consistency_jit_addr_cpu_float32 (__main__.TestJitCPU) ... ok (1.625s)
2022-05-18T03:50:03.2700966Z   test_variant_consistency_jit_all_cpu_complex64 (__main__.TestJitCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_jit.py:160: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:250.)
2022-05-18T03:50:03.2701733Z   results = func(*inputs, **kwargs)
2022-05-18T03:50:05.6018989Z ok (2.639s)
2022-05-18T03:50:06.9739723Z   test_variant_consistency_jit_all_cpu_float32 (__main__.TestJitCPU) ... ok (1.372s)
2022-05-18T03:50:06.9775534Z   test_variant_consistency_jit_allclose_cpu_complex64 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T03:50:06.9813354Z   test_variant_consistency_jit_allclose_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T03:50:14.1854495Z   test_variant_consistency_jit_amax_cpu_float32 (__main__.TestJitCPU) ... ok (7.204s)
2022-05-18T03:50:21.2153219Z   test_variant_consistency_jit_amin_cpu_float32 (__main__.TestJitCPU) ... ok (7.030s)
2022-05-18T03:50:21.8159910Z   test_variant_consistency_jit_aminmax_cpu_float32 (__main__.TestJitCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_jit.py:160: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.)
2022-05-18T03:50:21.8161127Z   results = func(*inputs, **kwargs)
2022-05-18T03:50:21.8289016Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.)
2022-05-18T03:50:21.8290191Z   return callable(*args, **kwargs)
2022-05-18T03:50:21.8448884Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/jit_metaprogramming_utils.py:457: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.)
2022-05-18T03:50:21.8450094Z   return fn(*full_args, **full_kwargs)
2022-05-18T03:50:21.8740963Z [W Resize.cpp:24] Warning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output_check)
2022-05-18T03:50:21.8742679Z [W Resize.cpp:24] Warning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output_check)
2022-05-18T03:50:21.8744843Z test_ops_jit.py:137: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:24.)
2022-05-18T03:50:21.8746023Z   out = variant(get_sample(), *sample.args, **sample.kwargs)
2022-05-18T03:50:21.9340255Z [W Resize.cpp:24] Warning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output_check)
2022-05-18T03:50:21.9342174Z [W Resize.cpp:24] Warning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output_check)
2022-05-18T03:50:21.9355326Z ok (0.720s)
2022-05-18T03:50:22.5950162Z   test_variant_consistency_jit_angle_cpu_complex64 (__main__.TestJitCPU) ... ok (0.659s)
2022-05-18T03:50:22.9010173Z   test_variant_consistency_jit_angle_cpu_float32 (__main__.TestJitCPU) ... ok (0.306s)
2022-05-18T03:50:25.3554960Z   test_variant_consistency_jit_any_cpu_complex64 (__main__.TestJitCPU) ... ok (2.454s)
2022-05-18T03:50:26.6336798Z   test_variant_consistency_jit_any_cpu_float32 (__main__.TestJitCPU) ... ok (1.278s)
2022-05-18T03:50:28.1332133Z   test_variant_consistency_jit_argmax_cpu_float32 (__main__.TestJitCPU) ... ok (1.499s)
2022-05-18T03:50:29.4495433Z   test_variant_consistency_jit_argmin_cpu_float32 (__main__.TestJitCPU) ... ok (1.316s)
2022-05-18T03:50:29.4533428Z   test_variant_consistency_jit_argsort_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T03:50:30.4978594Z   test_variant_consistency_jit_argwhere_cpu_complex64 (__main__.TestJitCPU) ... ok (1.044s)
2022-05-18T03:50:31.0308365Z   test_variant_consistency_jit_argwhere_cpu_float32 (__main__.TestJitCPU) ... ok (0.533s)
2022-05-18T03:50:33.0365552Z   test_variant_consistency_jit_as_strided_cpu_complex64 (__main__.TestJitCPU) ... ok (2.006s)
2022-05-18T03:50:34.0310321Z   test_variant_consistency_jit_as_strided_cpu_float32 (__main__.TestJitCPU) ... ok (0.994s)
2022-05-18T03:50:34.7801823Z   test_variant_consistency_jit_asin_cpu_complex64 (__main__.TestJitCPU) ... ok (0.749s)
2022-05-18T03:50:35.1456365Z   test_variant_consistency_jit_asin_cpu_float32 (__main__.TestJitCPU) ... ok (0.365s)
2022-05-18T03:50:35.8101771Z   test_variant_consistency_jit_asinh_cpu_complex64 (__main__.TestJitCPU) ... ok (0.664s)
2022-05-18T03:50:36.1244348Z   test_variant_consistency_jit_asinh_cpu_float32 (__main__.TestJitCPU) ... ok (0.314s)
2022-05-18T03:50:39.5374732Z   test_variant_consistency_jit_atan2_cpu_float32 (__main__.TestJitCPU) ... ok (3.413s)
2022-05-18T03:50:40.2429106Z   test_variant_consistency_jit_atan_cpu_complex64 (__main__.TestJitCPU) ... ok (0.705s)
2022-05-18T03:50:40.6318127Z   test_variant_consistency_jit_atan_cpu_float32 (__main__.TestJitCPU) ... ok (0.389s)
2022-05-18T03:50:41.2974685Z   test_variant_consistency_jit_atanh_cpu_complex64 (__main__.TestJitCPU) ... ok (0.666s)
2022-05-18T03:50:41.6158196Z   test_variant_consistency_jit_atanh_cpu_float32 (__main__.TestJitCPU) ... ok (0.318s)
2022-05-18T03:50:43.7214228Z   test_variant_consistency_jit_atleast_1d_cpu_complex64 (__main__.TestJitCPU) ... ok (2.105s)
2022-05-18T03:50:43.9039597Z   test_variant_consistency_jit_atleast_1d_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.182s)
2022-05-18T03:50:45.9662657Z   test_variant_consistency_jit_atleast_2d_cpu_complex64 (__main__.TestJitCPU) ... ok (2.062s)
2022-05-18T03:50:46.1246652Z   test_variant_consistency_jit_atleast_2d_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.158s)
2022-05-18T03:50:48.2094692Z   test_variant_consistency_jit_atleast_3d_cpu_complex64 (__main__.TestJitCPU) ... ok (2.085s)
2022-05-18T03:50:48.3573670Z   test_variant_consistency_jit_atleast_3d_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.148s)
2022-05-18T03:50:59.4223900Z   test_variant_consistency_jit_baddbmm_cpu_complex64 (__main__.TestJitCPU) ... ok (11.065s)
2022-05-18T03:51:01.9090102Z   test_variant_consistency_jit_baddbmm_cpu_float32 (__main__.TestJitCPU) ... ok (2.487s)
2022-05-18T03:51:01.9152779Z   test_variant_consistency_jit_bernoulli_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.006s)
2022-05-18T03:51:01.9261888Z   test_variant_consistency_jit_bfloat16_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.011s)
2022-05-18T03:51:01.9322080Z   test_variant_consistency_jit_bfloat16_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.006s)
2022-05-18T03:51:02.3529205Z   test_variant_consistency_jit_block_diag_cpu_complex64 (__main__.TestJitCPU) ... ok (0.421s)
2022-05-18T03:51:02.5681737Z   test_variant_consistency_jit_block_diag_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.215s)
2022-05-18T03:51:03.4037914Z   test_variant_consistency_jit_bmm_cpu_complex64 (__main__.TestJitCPU) ... ok (0.835s)
2022-05-18T03:51:03.8190618Z   test_variant_consistency_jit_bmm_cpu_float32 (__main__.TestJitCPU) ... ok (0.415s)
2022-05-18T03:51:03.8294950Z   test_variant_consistency_jit_bool_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.010s)
2022-05-18T03:51:03.8355983Z   test_variant_consistency_jit_bool_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.006s)
2022-05-18T03:51:04.3788492Z   test_variant_consistency_jit_broadcast_tensors_cpu_complex64 (__main__.TestJitCPU) ... ok (0.543s)
2022-05-18T03:51:04.6471342Z   test_variant_consistency_jit_broadcast_tensors_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.268s)
2022-05-18T03:51:09.7090733Z   test_variant_consistency_jit_broadcast_to_cpu_complex64 (__main__.TestJitCPU) ... ok (5.062s)
2022-05-18T03:51:12.2734297Z   test_variant_consistency_jit_broadcast_to_cpu_float32 (__main__.TestJitCPU) ... ok (2.564s)
2022-05-18T03:51:12.2774683Z   test_variant_consistency_jit_bucketize_cpu_float32 (__main__.TestJitCPU) ... skip: Expected failure! (0.004s)
2022-05-18T03:51:12.3557906Z   test_variant_consistency_jit_byte_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.078s)
2022-05-18T03:51:12.4312112Z   test_variant_consistency_jit_byte_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.075s)
2022-05-18T03:51:13.6259891Z   test_variant_consistency_jit_cartesian_prod_cpu_complex64 (__main__.TestJitCPU) ... ok (1.195s)
2022-05-18T03:51:13.7910765Z   test_variant_consistency_jit_cartesian_prod_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.165s)
2022-05-18T03:51:16.8405246Z   test_variant_consistency_jit_cat_cpu_complex64 (__main__.TestJitCPU) ... ok (3.049s)
2022-05-18T03:51:18.9345388Z   test_variant_consistency_jit_cat_cpu_float32 (__main__.TestJitCPU) ... ok (2.094s)
2022-05-18T03:51:59.9156888Z   test_variant_consistency_jit_cdist_cpu_float32 (__main__.TestJitCPU) ... ok (40.981s)
2022-05-18T03:52:00.2848734Z   test_variant_consistency_jit_ceil_cpu_float32 (__main__.TestJitCPU) ... ok (0.369s)
2022-05-18T03:52:00.3199158Z   test_variant_consistency_jit_chalf_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.035s)
2022-05-18T03:52:00.3485841Z   test_variant_consistency_jit_chalf_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.029s)
2022-05-18T03:52:00.4384417Z   test_variant_consistency_jit_char_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.090s)
2022-05-18T03:52:00.5135340Z   test_variant_consistency_jit_char_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.075s)
2022-05-18T03:52:00.5310778Z   test_variant_consistency_jit_cholesky_cpu_complex64 (__main__.TestJitCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_jit.py:160: UserWarning: torch.cholesky is deprecated in favor of torch.linalg.cholesky and will be removed in a future PyTorch release.
2022-05-18T03:52:00.5311581Z L = torch.cholesky(A)
2022-05-18T03:52:00.5311906Z should be replaced with
2022-05-18T03:52:00.5314825Z L = torch.linalg.cholesky(A)
2022-05-18T03:52:00.5315268Z and
2022-05-18T03:52:00.5315519Z U = torch.cholesky(A, upper=True)
2022-05-18T03:52:00.5315806Z should be replaced with
2022-05-18T03:52:00.5316100Z U = torch.linalg.cholesky(A).mH().
2022-05-18T03:52:00.5318368Z This transform will produce equivalent results for all valid (symmetric positive definite) inputs. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:1755.)
2022-05-18T03:52:00.5319111Z   results = func(*inputs, **kwargs)
2022-05-18T03:52:11.9439409Z ok (11.430s)
2022-05-18T03:52:17.6022123Z   test_variant_consistency_jit_cholesky_cpu_float32 (__main__.TestJitCPU) ... ok (5.658s)
2022-05-18T03:52:25.9364844Z   test_variant_consistency_jit_cholesky_inverse_cpu_complex64 (__main__.TestJitCPU) ... ok (8.334s)
2022-05-18T03:52:30.1873865Z   test_variant_consistency_jit_cholesky_inverse_cpu_float32 (__main__.TestJitCPU) ... ok (4.251s)
2022-05-18T03:52:39.2864516Z   test_variant_consistency_jit_cholesky_solve_cpu_complex64 (__main__.TestJitCPU) ... ok (9.099s)
2022-05-18T03:52:43.8735390Z   test_variant_consistency_jit_cholesky_solve_cpu_float32 (__main__.TestJitCPU) ... ok (4.587s)
2022-05-18T03:52:46.6214065Z   test_variant_consistency_jit_chunk_cpu_complex64 (__main__.TestJitCPU) ... ok (2.748s)
2022-05-18T03:52:48.0021788Z   test_variant_consistency_jit_chunk_cpu_float32 (__main__.TestJitCPU) ... ok (1.381s)
2022-05-18T03:52:49.3322228Z   test_variant_consistency_jit_clamp_cpu_float32 (__main__.TestJitCPU) ... ok (1.330s)
2022-05-18T03:52:52.2773751Z   test_variant_consistency_jit_clamp_scalar_cpu_float32 (__main__.TestJitCPU) ... ok (2.945s)
2022-05-18T03:52:53.5612765Z   test_variant_consistency_jit_clone_cpu_complex64 (__main__.TestJitCPU) ... ok (1.284s)
2022-05-18T03:52:54.1953256Z   test_variant_consistency_jit_clone_cpu_float32 (__main__.TestJitCPU) ... ok (0.634s)
2022-05-18T03:52:55.3142850Z   test_variant_consistency_jit_column_stack_cpu_complex64 (__main__.TestJitCPU) ... ok (1.119s)
2022-05-18T03:52:55.8680428Z   test_variant_consistency_jit_column_stack_cpu_float32 (__main__.TestJitCPU) ... ok (0.554s)
2022-05-18T03:53:02.9959652Z   test_variant_consistency_jit_combinations_cpu_complex64 (__main__.TestJitCPU) ... ok (7.128s)
2022-05-18T03:53:06.4902899Z   test_variant_consistency_jit_combinations_cpu_float32 (__main__.TestJitCPU) ... ok (3.494s)
2022-05-18T03:53:08.0205307Z   test_variant_consistency_jit_complex_cpu_float32 (__main__.TestJitCPU) ... ok (1.530s)
2022-05-18T03:53:09.8842008Z   test_variant_consistency_jit_conj_cpu_complex64 (__main__.TestJitCPU) ... ok (1.864s)
2022-05-18T03:53:10.7001139Z   test_variant_consistency_jit_conj_cpu_float32 (__main__.TestJitCPU) ... ok (0.816s)
2022-05-18T03:53:11.3679507Z   test_variant_consistency_jit_conj_physical_cpu_complex64 (__main__.TestJitCPU) ... ok (0.668s)
2022-05-18T03:53:11.3716080Z   test_variant_consistency_jit_conj_physical_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T03:53:11.7199183Z   test_variant_consistency_jit_contiguous_cpu_complex64 (__main__.TestJitCPU) ... ok (0.348s)
2022-05-18T03:53:11.8788850Z   test_variant_consistency_jit_contiguous_cpu_float32 (__main__.TestJitCPU) ... ok (0.159s)
2022-05-18T03:53:15.0993889Z   test_variant_consistency_jit_copysign_cpu_float32 (__main__.TestJitCPU) ... ok (3.220s)
2022-05-18T03:53:18.4362989Z   test_variant_consistency_jit_corrcoef_cpu_complex64 (__main__.TestJitCPU) ... ok (3.337s)
2022-05-18T03:53:19.9631349Z   test_variant_consistency_jit_corrcoef_cpu_float32 (__main__.TestJitCPU) ... ok (1.527s)
2022-05-18T03:53:22.0757275Z   test_variant_consistency_jit_cos_cpu_complex64 (__main__.TestJitCPU) ... ok (2.113s)
2022-05-18T03:53:23.1431254Z   test_variant_consistency_jit_cos_cpu_float32 (__main__.TestJitCPU) ... ok (1.067s)
2022-05-18T03:53:25.2350780Z   test_variant_consistency_jit_cosh_cpu_complex64 (__main__.TestJitCPU) ... ok (2.092s)
2022-05-18T03:53:26.3237916Z   test_variant_consistency_jit_cosh_cpu_float32 (__main__.TestJitCPU) ... ok (1.089s)
2022-05-18T03:53:30.4645983Z   test_variant_consistency_jit_count_nonzero_cpu_complex64 (__main__.TestJitCPU) ... ok (4.141s)
2022-05-18T03:53:32.5849205Z   test_variant_consistency_jit_count_nonzero_cpu_float32 (__main__.TestJitCPU) ... ok (2.120s)
2022-05-18T03:53:33.4057263Z   test_variant_consistency_jit_cov_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.821s)
2022-05-18T03:53:34.1778951Z   test_variant_consistency_jit_cov_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.772s)
2022-05-18T03:53:36.3605420Z   test_variant_consistency_jit_cross_cpu_complex64 (__main__.TestJitCPU) ... ok (2.183s)
2022-05-18T03:53:37.4385923Z   test_variant_consistency_jit_cross_cpu_float32 (__main__.TestJitCPU) ... ok (1.078s)
2022-05-18T03:53:38.5464759Z   test_variant_consistency_jit_cummax_cpu_float32 (__main__.TestJitCPU) ... ok (1.108s)
2022-05-18T03:53:39.6511826Z   test_variant_consistency_jit_cummin_cpu_float32 (__main__.TestJitCPU) ... ok (1.105s)
2022-05-18T03:53:47.6001871Z   test_variant_consistency_jit_cumprod_cpu_complex64 (__main__.TestJitCPU) ... ok (7.949s)
2022-05-18T03:53:51.4420941Z   test_variant_consistency_jit_cumprod_cpu_float32 (__main__.TestJitCPU) ... ok (3.842s)
2022-05-18T03:53:54.2480620Z   test_variant_consistency_jit_cumsum_cpu_complex64 (__main__.TestJitCPU) ... ok (2.806s)
2022-05-18T03:53:55.5987255Z   test_variant_consistency_jit_cumsum_cpu_float32 (__main__.TestJitCPU) ... ok (1.351s)
2022-05-18T03:53:59.1449073Z   test_variant_consistency_jit_cumulative_trapezoid_cpu_complex64 (__main__.TestJitCPU) ... ok (3.546s)
2022-05-18T03:54:00.8840545Z   test_variant_consistency_jit_cumulative_trapezoid_cpu_float32 (__main__.TestJitCPU) ... ok (1.739s)
2022-05-18T03:54:01.8240525Z   test_variant_consistency_jit_deg2rad_cpu_float32 (__main__.TestJitCPU) ... ok (0.940s)
2022-05-18T03:54:12.2487521Z   test_variant_consistency_jit_diag_cpu_complex64 (__main__.TestJitCPU) ... ok (10.425s)
2022-05-18T03:54:17.5999669Z   test_variant_consistency_jit_diag_cpu_float32 (__main__.TestJitCPU) ... ok (5.351s)
2022-05-18T03:54:29.5627192Z   test_variant_consistency_jit_diag_embed_cpu_complex64 (__main__.TestJitCPU) ... ok (11.963s)
2022-05-18T03:54:35.2173402Z   test_variant_consistency_jit_diag_embed_cpu_float32 (__main__.TestJitCPU) ... ok (5.655s)
2022-05-18T03:54:38.4724620Z   test_variant_consistency_jit_diagflat_cpu_complex64 (__main__.TestJitCPU) ... ok (3.255s)
2022-05-18T03:54:40.1021103Z   test_variant_consistency_jit_diagflat_cpu_float32 (__main__.TestJitCPU) ... ok (1.630s)
2022-05-18T03:54:50.8629401Z   test_variant_consistency_jit_diagonal_cpu_complex64 (__main__.TestJitCPU) ... ok (10.761s)
2022-05-18T03:54:56.2047389Z   test_variant_consistency_jit_diagonal_cpu_float32 (__main__.TestJitCPU) ... ok (5.342s)
2022-05-18T03:55:02.1574331Z   test_variant_consistency_jit_diagonal_scatter_cpu_float32 (__main__.TestJitCPU) ... ok (5.953s)
2022-05-18T03:56:07.9536053Z   test_variant_consistency_jit_diff_cpu_complex64 (__main__.TestJitCPU) ... ok (65.796s)
2022-05-18T03:56:40.5000376Z   test_variant_consistency_jit_diff_cpu_float32 (__main__.TestJitCPU) ... ok (32.546s)
2022-05-18T03:56:41.4938204Z   test_variant_consistency_jit_digamma_cpu_float32 (__main__.TestJitCPU) ... ok (0.994s)
2022-05-18T03:57:21.4925935Z   test_variant_consistency_jit_dist_cpu_complex64 (__main__.TestJitCPU) ... ok (39.999s)
2022-05-18T03:57:41.2369007Z   test_variant_consistency_jit_dist_cpu_float32 (__main__.TestJitCPU) ... ok (19.744s)
2022-05-18T03:57:45.4641478Z   test_variant_consistency_jit_div_floor_rounding_cpu_float32 (__main__.TestJitCPU) ... ok (4.227s)
2022-05-18T03:57:53.3910034Z   test_variant_consistency_jit_div_no_rounding_mode_cpu_complex64 (__main__.TestJitCPU) ... ok (7.927s)
2022-05-18T03:57:57.5525268Z   test_variant_consistency_jit_div_no_rounding_mode_cpu_float32 (__main__.TestJitCPU) ... ok (4.161s)
2022-05-18T03:58:01.7279343Z   test_variant_consistency_jit_div_trunc_rounding_cpu_float32 (__main__.TestJitCPU) ... ok (4.175s)
2022-05-18T03:58:03.3254365Z   test_variant_consistency_jit_dot_cpu_complex64 (__main__.TestJitCPU) ... ok (1.597s)
2022-05-18T03:58:03.7527307Z   test_variant_consistency_jit_dot_cpu_float32 (__main__.TestJitCPU) ... ok (0.427s)
2022-05-18T03:58:03.9390707Z   test_variant_consistency_jit_double_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.186s)
2022-05-18T03:58:04.1429831Z   test_variant_consistency_jit_double_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.204s)
2022-05-18T03:58:05.9605741Z   test_variant_consistency_jit_dsplit_cpu_complex64 (__main__.TestJitCPU) ... ok (1.817s)
2022-05-18T03:58:06.8747606Z   test_variant_consistency_jit_dsplit_cpu_float32 (__main__.TestJitCPU) ... ok (0.914s)
2022-05-18T03:58:07.2645750Z   test_variant_consistency_jit_dstack_cpu_complex64 (__main__.TestJitCPU) ... ok (0.390s)
2022-05-18T03:58:07.4690054Z   test_variant_consistency_jit_dstack_cpu_float32 (__main__.TestJitCPU) ... ok (0.204s)
2022-05-18T03:58:07.4829430Z   test_variant_consistency_jit_eig_cpu_complex64 (__main__.TestJitCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_jit.py:160: UserWarning: torch.eig is deprecated in favor of torch.linalg.eig and will be removed in a future PyTorch release.
2022-05-18T03:58:07.4830342Z torch.linalg.eig returns complex tensors of dtype cfloat or cdouble rather than real tensors mimicking complex tensors.
2022-05-18T03:58:07.4830786Z L, _ = torch.eig(A)
2022-05-18T03:58:07.4831057Z should be replaced with
2022-05-18T03:58:07.4831349Z L_complex = torch.linalg.eigvals(A)
2022-05-18T03:58:07.4832565Z and
2022-05-18T03:58:07.4832896Z L, V = torch.eig(A, eigenvectors=True)
2022-05-18T03:58:07.4833312Z should be replaced with
2022-05-18T03:58:07.4833720Z L_complex, V_complex = torch.linalg.eig(A) (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:3427.)
2022-05-18T03:58:07.4834048Z   results = func(*inputs, **kwargs)
2022-05-18T03:58:08.4509041Z ok (0.982s)
2022-05-18T03:58:08.9211026Z   test_variant_consistency_jit_eig_cpu_float32 (__main__.TestJitCPU) ... ok (0.470s)
2022-05-18T03:58:08.9248504Z   test_variant_consistency_jit_einsum_cpu_complex64 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T03:58:08.9286915Z   test_variant_consistency_jit_einsum_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T03:58:08.9323868Z   test_variant_consistency_jit_empty_like_cpu_complex64 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T03:58:08.9363054Z   test_variant_consistency_jit_empty_like_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T03:58:10.9601796Z   test_variant_consistency_jit_eq_cpu_complex64 (__main__.TestJitCPU) ... ok (2.024s)
2022-05-18T03:58:12.3416715Z   test_variant_consistency_jit_eq_cpu_float32 (__main__.TestJitCPU) ... ok (1.381s)
2022-05-18T03:58:12.7723639Z   test_variant_consistency_jit_erf_cpu_float32 (__main__.TestJitCPU) ... ok (0.431s)
2022-05-18T03:58:13.9731847Z   test_variant_consistency_jit_erfc_cpu_float32 (__main__.TestJitCPU) ... ok (1.201s)
2022-05-18T03:58:14.3233530Z   test_variant_consistency_jit_erfinv_cpu_float32 (__main__.TestJitCPU) ... ok (0.350s)
2022-05-18T03:58:15.3089191Z   test_variant_consistency_jit_exp2_cpu_float32 (__main__.TestJitCPU) ... ok (0.985s)
2022-05-18T03:58:17.4785472Z   test_variant_consistency_jit_exp_cpu_complex64 (__main__.TestJitCPU) ... ok (2.170s)
2022-05-18T03:58:18.5926172Z   test_variant_consistency_jit_exp_cpu_float32 (__main__.TestJitCPU) ... ok (1.114s)
2022-05-18T03:58:19.6599626Z   test_variant_consistency_jit_expand_as_cpu_complex64 (__main__.TestJitCPU) ... ok (1.067s)
2022-05-18T03:58:20.2180506Z   test_variant_consistency_jit_expand_as_cpu_float32 (__main__.TestJitCPU) ... ok (0.558s)
2022-05-18T03:58:23.7764168Z   test_variant_consistency_jit_expand_cpu_complex64 (__main__.TestJitCPU) ... ok (3.558s)
2022-05-18T03:58:25.7006556Z   test_variant_consistency_jit_expand_cpu_float32 (__main__.TestJitCPU) ... ok (1.924s)
2022-05-18T03:58:26.0897370Z   test_variant_consistency_jit_expm1_cpu_float32 (__main__.TestJitCPU) ... ok (0.389s)
2022-05-18T03:58:28.7097309Z   test_variant_consistency_jit_fft_fft2_cpu_complex64 (__main__.TestJitCPU) ... ok (2.620s)
2022-05-18T03:58:30.0138443Z   test_variant_consistency_jit_fft_fft2_cpu_float32 (__main__.TestJitCPU) ... ok (1.304s)
2022-05-18T03:58:32.6620328Z   test_variant_consistency_jit_fft_fft_cpu_complex64 (__main__.TestJitCPU) ... ok (2.648s)
2022-05-18T03:58:34.0091942Z   test_variant_consistency_jit_fft_fft_cpu_float32 (__main__.TestJitCPU) ... ok (1.347s)
2022-05-18T03:58:37.1681665Z   test_variant_consistency_jit_fft_fftn_cpu_complex64 (__main__.TestJitCPU) ... ok (3.159s)
2022-05-18T03:58:38.8075937Z   test_variant_consistency_jit_fft_fftn_cpu_float32 (__main__.TestJitCPU) ... ok (1.639s)
2022-05-18T03:58:40.6849803Z   test_variant_consistency_jit_fft_fftshift_cpu_complex64 (__main__.TestJitCPU) ... ok (1.877s)
2022-05-18T03:58:41.6314609Z   test_variant_consistency_jit_fft_fftshift_cpu_float32 (__main__.TestJitCPU) ... ok (0.946s)
2022-05-18T03:58:44.3692147Z   test_variant_consistency_jit_fft_hfft2_cpu_complex64 (__main__.TestJitCPU) ... ok (2.737s)
2022-05-18T03:58:45.7135922Z   test_variant_consistency_jit_fft_hfft2_cpu_float32 (__main__.TestJitCPU) ... ok (1.344s)
2022-05-18T03:58:48.4485088Z   test_variant_consistency_jit_fft_hfft_cpu_complex64 (__main__.TestJitCPU) ... ok (2.735s)
2022-05-18T03:58:49.8177371Z   test_variant_consistency_jit_fft_hfft_cpu_float32 (__main__.TestJitCPU) ... ok (1.369s)
2022-05-18T03:58:53.0924054Z   test_variant_consistency_jit_fft_hfftn_cpu_complex64 (__main__.TestJitCPU) ... ok (3.275s)
2022-05-18T03:58:54.7611780Z   test_variant_consistency_jit_fft_hfftn_cpu_float32 (__main__.TestJitCPU) ... ok (1.669s)
2022-05-18T03:58:57.3480311Z   test_variant_consistency_jit_fft_ifft2_cpu_complex64 (__main__.TestJitCPU) ... ok (2.587s)
2022-05-18T03:58:58.7176336Z   test_variant_consistency_jit_fft_ifft2_cpu_float32 (__main__.TestJitCPU) ... ok (1.369s)
2022-05-18T03:59:01.3875558Z   test_variant_consistency_jit_fft_ifft_cpu_complex64 (__main__.TestJitCPU) ... ok (2.670s)
2022-05-18T03:59:02.7740268Z   test_variant_consistency_jit_fft_ifft_cpu_float32 (__main__.TestJitCPU) ... ok (1.386s)
2022-05-18T03:59:05.9969053Z   test_variant_consistency_jit_fft_ifftn_cpu_complex64 (__main__.TestJitCPU) ... ok (3.223s)
2022-05-18T03:59:07.6320503Z   test_variant_consistency_jit_fft_ifftn_cpu_float32 (__main__.TestJitCPU) ... ok (1.635s)
2022-05-18T03:59:09.5654941Z   test_variant_consistency_jit_fft_ifftshift_cpu_complex64 (__main__.TestJitCPU) ... ok (1.933s)
2022-05-18T03:59:10.5191279Z   test_variant_consistency_jit_fft_ifftshift_cpu_float32 (__main__.TestJitCPU) ... ok (0.954s)
2022-05-18T03:59:11.8782652Z   test_variant_consistency_jit_fft_ihfft2_cpu_float32 (__main__.TestJitCPU) ... ok (1.359s)
2022-05-18T03:59:13.3026421Z   test_variant_consistency_jit_fft_ihfft_cpu_float32 (__main__.TestJitCPU) ... ok (1.424s)
2022-05-18T03:59:15.0050835Z   test_variant_consistency_jit_fft_ihfftn_cpu_float32 (__main__.TestJitCPU) ... ok (1.702s)
2022-05-18T03:59:17.6055290Z   test_variant_consistency_jit_fft_irfft2_cpu_complex64 (__main__.TestJitCPU) ... ok (2.600s)
2022-05-18T03:59:18.9126147Z   test_variant_consistency_jit_fft_irfft2_cpu_float32 (__main__.TestJitCPU) ... ok (1.307s)
2022-05-18T03:59:21.5757288Z   test_variant_consistency_jit_fft_irfft_cpu_complex64 (__main__.TestJitCPU) ... ok (2.663s)
2022-05-18T03:59:22.9190194Z   test_variant_consistency_jit_fft_irfft_cpu_float32 (__main__.TestJitCPU) ... ok (1.343s)
2022-05-18T03:59:26.1190639Z   test_variant_consistency_jit_fft_irfftn_cpu_complex64 (__main__.TestJitCPU) ... ok (3.200s)
2022-05-18T03:59:27.7775047Z   test_variant_consistency_jit_fft_irfftn_cpu_float32 (__main__.TestJitCPU) ... ok (1.658s)
2022-05-18T03:59:29.1161329Z   test_variant_consistency_jit_fft_rfft2_cpu_float32 (__main__.TestJitCPU) ... ok (1.339s)
2022-05-18T03:59:30.4674806Z   test_variant_consistency_jit_fft_rfft_cpu_float32 (__main__.TestJitCPU) ... ok (1.351s)
2022-05-18T03:59:32.0876146Z   test_variant_consistency_jit_fft_rfftn_cpu_float32 (__main__.TestJitCPU) ... ok (1.620s)
2022-05-18T03:59:32.0960896Z   test_variant_consistency_jit_fill__cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.008s)
2022-05-18T03:59:32.1016455Z   test_variant_consistency_jit_fill__cpu_float32 (__main__.TestJitCPU) ... expected failure (0.006s)
2022-05-18T03:59:36.3314713Z   test_variant_consistency_jit_flatten_cpu_complex64 (__main__.TestJitCPU) ... ok (4.229s)
2022-05-18T03:59:38.5720987Z   test_variant_consistency_jit_flatten_cpu_float32 (__main__.TestJitCPU) ... ok (2.241s)
2022-05-18T03:59:46.0553366Z   test_variant_consistency_jit_flip_cpu_complex64 (__main__.TestJitCPU) ... ok (7.483s)
2022-05-18T03:59:49.7933483Z   test_variant_consistency_jit_flip_cpu_float32 (__main__.TestJitCPU) ... ok (3.738s)
2022-05-18T03:59:51.1066136Z   test_variant_consistency_jit_fliplr_cpu_complex64 (__main__.TestJitCPU) ... ok (1.313s)
2022-05-18T03:59:51.7497459Z   test_variant_consistency_jit_fliplr_cpu_float32 (__main__.TestJitCPU) ... ok (0.643s)
2022-05-18T03:59:53.0248936Z   test_variant_consistency_jit_flipud_cpu_complex64 (__main__.TestJitCPU) ... ok (1.275s)
2022-05-18T03:59:53.6659578Z   test_variant_consistency_jit_flipud_cpu_float32 (__main__.TestJitCPU) ... ok (0.641s)
2022-05-18T03:59:53.8791676Z   test_variant_consistency_jit_float_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.213s)
2022-05-18T03:59:54.0732278Z   test_variant_consistency_jit_float_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.194s)
2022-05-18T03:59:54.0772216Z   test_variant_consistency_jit_float_power_cpu_complex64 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T03:59:54.0954462Z   test_variant_consistency_jit_float_power_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.018s)
2022-05-18T03:59:54.5008635Z   test_variant_consistency_jit_floor_cpu_float32 (__main__.TestJitCPU) ... ok (0.405s)
2022-05-18T03:59:54.5045502Z   test_variant_consistency_jit_floor_divide_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T03:59:57.6606102Z   test_variant_consistency_jit_fmax_cpu_float32 (__main__.TestJitCPU) ... ok (3.156s)
2022-05-18T04:00:00.9088610Z   test_variant_consistency_jit_fmin_cpu_float32 (__main__.TestJitCPU) ... ok (3.248s)
2022-05-18T04:00:04.8248304Z   test_variant_consistency_jit_fmod_cpu_float32 (__main__.TestJitCPU) ... ok (3.916s)
2022-05-18T04:00:06.0283086Z   test_variant_consistency_jit_frac_cpu_float32 (__main__.TestJitCPU) ... ok (1.203s)
2022-05-18T04:00:07.2382762Z   test_variant_consistency_jit_frexp_cpu_float32 (__main__.TestJitCPU) ... ok (1.210s)
2022-05-18T04:00:08.2420927Z   test_variant_consistency_jit_full_like_cpu_complex64 (__main__.TestJitCPU) ... ok (1.004s)
2022-05-18T04:00:08.7523616Z   test_variant_consistency_jit_full_like_cpu_float32 (__main__.TestJitCPU) ... ok (0.510s)
2022-05-18T04:00:12.5173541Z   test_variant_consistency_jit_gather_cpu_complex64 (__main__.TestJitCPU) ... ok (3.765s)
2022-05-18T04:00:14.4743382Z   test_variant_consistency_jit_gather_cpu_float32 (__main__.TestJitCPU) ... ok (1.957s)
2022-05-18T04:00:15.7420496Z   test_variant_consistency_jit_ge_cpu_float32 (__main__.TestJitCPU) ... ok (1.268s)
2022-05-18T04:00:24.3684561Z   test_variant_consistency_jit_geqrf_cpu_complex64 (__main__.TestJitCPU) ... ok (8.626s)
2022-05-18T04:00:28.7689917Z   test_variant_consistency_jit_geqrf_cpu_float32 (__main__.TestJitCPU) ... ok (4.400s)
2022-05-18T04:00:28.7725938Z   test_variant_consistency_jit_gradient_cpu_complex64 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T04:00:28.7772947Z   test_variant_consistency_jit_gradient_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.005s)
2022-05-18T04:00:30.0468793Z   test_variant_consistency_jit_gt_cpu_float32 (__main__.TestJitCPU) ... ok (1.269s)
2022-05-18T04:00:30.2627923Z   test_variant_consistency_jit_half_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.216s)
2022-05-18T04:00:30.4582483Z   test_variant_consistency_jit_half_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.195s)
2022-05-18T04:00:31.4673535Z   test_variant_consistency_jit_heaviside_cpu_float32 (__main__.TestJitCPU) ... ok (1.009s)
2022-05-18T04:00:43.2271549Z   test_variant_consistency_jit_histc_cpu_float32 (__main__.TestJitCPU) ... ok (11.760s)
2022-05-18T04:00:45.1343022Z   test_variant_consistency_jit_histogram_cpu_float32 (__main__.TestJitCPU) ... expected failure (1.907s)
2022-05-18T04:00:45.6694201Z   test_variant_consistency_jit_histogramdd_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.535s)
2022-05-18T04:00:47.5931104Z   test_variant_consistency_jit_hsplit_cpu_complex64 (__main__.TestJitCPU) ... ok (1.924s)
2022-05-18T04:00:48.5286287Z   test_variant_consistency_jit_hsplit_cpu_float32 (__main__.TestJitCPU) ... ok (0.935s)
2022-05-18T04:00:48.9457910Z   test_variant_consistency_jit_hstack_cpu_complex64 (__main__.TestJitCPU) ... ok (0.417s)
2022-05-18T04:00:49.1567017Z   test_variant_consistency_jit_hstack_cpu_float32 (__main__.TestJitCPU) ... ok (0.211s)
2022-05-18T04:00:52.4825433Z   test_variant_consistency_jit_hypot_cpu_float32 (__main__.TestJitCPU) ... ok (3.326s)
2022-05-18T04:00:53.4985476Z   test_variant_consistency_jit_i0_cpu_float32 (__main__.TestJitCPU) ... ok (1.016s)
2022-05-18T04:00:54.5043727Z   test_variant_consistency_jit_igamma_cpu_float32 (__main__.TestJitCPU) ... ok (1.006s)
2022-05-18T04:00:55.5250189Z   test_variant_consistency_jit_igammac_cpu_float32 (__main__.TestJitCPU) ... ok (1.021s)
2022-05-18T04:00:56.5007944Z   test_variant_consistency_jit_imag_cpu_complex64 (__main__.TestJitCPU) ... ok (0.976s)
2022-05-18T04:01:03.9616570Z   test_variant_consistency_jit_index_add_cpu_complex64 (__main__.TestJitCPU) ... ok (7.461s)
2022-05-18T04:01:07.6302443Z   test_variant_consistency_jit_index_add_cpu_float32 (__main__.TestJitCPU) ... ok (3.668s)
2022-05-18T04:01:10.0642860Z   test_variant_consistency_jit_index_copy_cpu_complex64 (__main__.TestJitCPU) ... ok (2.434s)
2022-05-18T04:01:11.2603620Z   test_variant_consistency_jit_index_copy_cpu_float32 (__main__.TestJitCPU) ... ok (1.196s)
2022-05-18T04:01:13.7553067Z   test_variant_consistency_jit_index_fill_cpu_complex64 (__main__.TestJitCPU) ... ok (2.495s)
2022-05-18T04:01:14.9757160Z   test_variant_consistency_jit_index_fill_cpu_float32 (__main__.TestJitCPU) ... ok (1.220s)
2022-05-18T04:01:15.0627504Z   test_variant_consistency_jit_index_put_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.087s)
2022-05-18T04:01:15.1285624Z   test_variant_consistency_jit_index_put_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.065s)
2022-05-18T04:01:15.1357986Z   test_variant_consistency_jit_index_reduce_cpu_float32 (__main__.TestJitCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_jit.py:160: UserWarning: index_reduce() is in beta and the API may change at any time. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1037.)
2022-05-18T04:01:15.1358540Z   results = func(*inputs, **kwargs)
2022-05-18T04:01:30.1706136Z ok (15.042s)
2022-05-18T04:01:32.3840930Z   test_variant_consistency_jit_index_select_cpu_complex64 (__main__.TestJitCPU) ... ok (2.213s)
2022-05-18T04:01:33.5431512Z   test_variant_consistency_jit_index_select_cpu_float32 (__main__.TestJitCPU) ... ok (1.159s)
2022-05-18T04:01:35.0718675Z   test_variant_consistency_jit_inner_cpu_complex64 (__main__.TestJitCPU) ... ok (1.529s)
2022-05-18T04:01:35.8221500Z   test_variant_consistency_jit_inner_cpu_float32 (__main__.TestJitCPU) ... ok (0.750s)
2022-05-18T04:01:35.9020985Z   test_variant_consistency_jit_int_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.080s)
2022-05-18T04:01:35.9806850Z   test_variant_consistency_jit_int_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.078s)
2022-05-18T04:01:41.6231308Z   test_variant_consistency_jit_inverse_cpu_complex64 (__main__.TestJitCPU) ... ok (5.642s)
2022-05-18T04:01:44.4124503Z   test_variant_consistency_jit_inverse_cpu_float32 (__main__.TestJitCPU) ... ok (2.789s)
2022-05-18T04:01:48.7854536Z   test_variant_consistency_jit_isclose_cpu_complex64 (__main__.TestJitCPU) ... ok (4.373s)
2022-05-18T04:01:51.0893381Z   test_variant_consistency_jit_isclose_cpu_float32 (__main__.TestJitCPU) ... ok (2.304s)
2022-05-18T04:01:51.7254119Z   test_variant_consistency_jit_isfinite_cpu_complex64 (__main__.TestJitCPU) ... ok (0.636s)
2022-05-18T04:01:52.0352704Z   test_variant_consistency_jit_isfinite_cpu_float32 (__main__.TestJitCPU) ... ok (0.310s)
2022-05-18T04:01:52.1596395Z   test_variant_consistency_jit_isin_cpu_float32 (__main__.TestJitCPU) ... ok (0.124s)
2022-05-18T04:01:52.3802187Z   test_variant_consistency_jit_isinf_cpu_complex64 (__main__.TestJitCPU) ... ok (0.220s)
2022-05-18T04:01:52.4798413Z   test_variant_consistency_jit_isinf_cpu_float32 (__main__.TestJitCPU) ... ok (0.100s)
2022-05-18T04:01:52.6657821Z   test_variant_consistency_jit_isnan_cpu_complex64 (__main__.TestJitCPU) ... ok (0.186s)
2022-05-18T04:01:52.7937956Z   test_variant_consistency_jit_isnan_cpu_float32 (__main__.TestJitCPU) ... ok (0.128s)
2022-05-18T04:01:52.8965781Z   test_variant_consistency_jit_isneginf_cpu_float32 (__main__.TestJitCPU) ... ok (0.103s)
2022-05-18T04:01:52.9970264Z   test_variant_consistency_jit_isposinf_cpu_float32 (__main__.TestJitCPU) ... ok (0.100s)
2022-05-18T04:01:53.6039539Z   test_variant_consistency_jit_isreal_cpu_complex64 (__main__.TestJitCPU) ... ok (0.607s)
2022-05-18T04:01:53.9012873Z   test_variant_consistency_jit_isreal_cpu_float32 (__main__.TestJitCPU) ... ok (0.297s)
2022-05-18T04:01:53.9050651Z   test_variant_consistency_jit_istft_cpu_complex64 (__main__.TestJitCPU) ... skip: Skipped! istft does not match the native function (0.004s)
2022-05-18T04:01:53.9087765Z   test_variant_consistency_jit_istft_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! istft does not match the native function (0.004s)
2022-05-18T04:01:53.9131188Z   test_variant_consistency_jit_jiterator_4inputs_with_extra_args_cpu_complex64 (__main__.TestJitCPU) ... skip: Only runs on cuda (0.004s)
2022-05-18T04:01:53.9174088Z   test_variant_consistency_jit_jiterator_4inputs_with_extra_args_cpu_float32 (__main__.TestJitCPU) ... skip: Only runs on cuda (0.004s)
2022-05-18T04:01:53.9215999Z   test_variant_consistency_jit_jiterator_binary_cpu_complex64 (__main__.TestJitCPU) ... skip: Only runs on cuda (0.004s)
2022-05-18T04:01:53.9257894Z   test_variant_consistency_jit_jiterator_binary_cpu_float32 (__main__.TestJitCPU) ... skip: Only runs on cuda (0.004s)
2022-05-18T04:01:53.9299614Z   test_variant_consistency_jit_jiterator_unary_cpu_complex64 (__main__.TestJitCPU) ... skip: Only runs on cuda (0.004s)
2022-05-18T04:01:53.9341283Z   test_variant_consistency_jit_jiterator_unary_cpu_float32 (__main__.TestJitCPU) ... skip: Only runs on cuda (0.004s)
2022-05-18T04:01:54.9625456Z   test_variant_consistency_jit_kron_cpu_complex64 (__main__.TestJitCPU) ... ok (1.028s)
2022-05-18T04:01:55.4363948Z   test_variant_consistency_jit_kron_cpu_float32 (__main__.TestJitCPU) ... ok (0.474s)
2022-05-18T04:01:59.7026314Z   test_variant_consistency_jit_kthvalue_cpu_float32 (__main__.TestJitCPU) ... ok (4.266s)
2022-05-18T04:02:06.8133521Z   test_variant_consistency_jit_ldexp_cpu_complex64 (__main__.TestJitCPU) ... ok (7.111s)
2022-05-18T04:02:10.2436041Z   test_variant_consistency_jit_ldexp_cpu_float32 (__main__.TestJitCPU) ... ok (3.430s)
2022-05-18T04:02:11.5621066Z   test_variant_consistency_jit_le_cpu_float32 (__main__.TestJitCPU) ... ok (1.318s)
2022-05-18T04:02:32.7149834Z   test_variant_consistency_jit_lerp_cpu_complex64 (__main__.TestJitCPU) ... ok (21.153s)
2022-05-18T04:02:40.1787068Z   test_variant_consistency_jit_lerp_cpu_float32 (__main__.TestJitCPU) ... ok (7.464s)
2022-05-18T04:02:41.2209947Z   test_variant_consistency_jit_lgamma_cpu_float32 (__main__.TestJitCPU) ... ok (1.042s)
2022-05-18T04:02:47.6602224Z   test_variant_consistency_jit_linalg_cholesky_cpu_complex64 (__main__.TestJitCPU) ... ok (6.439s)
2022-05-18T04:02:50.7006885Z   test_variant_consistency_jit_linalg_cholesky_cpu_float32 (__main__.TestJitCPU) ... ok (3.040s)
2022-05-18T04:02:57.7777650Z   test_variant_consistency_jit_linalg_cholesky_ex_cpu_complex64 (__main__.TestJitCPU) ... ok (7.077s)
2022-05-18T04:03:01.2577379Z   test_variant_consistency_jit_linalg_cholesky_ex_cpu_float32 (__main__.TestJitCPU) ... ok (3.480s)
2022-05-18T04:03:02.5092294Z   test_variant_consistency_jit_linalg_cond_cpu_complex64 (__main__.TestJitCPU) ... ok (1.251s)
2022-05-18T04:03:03.1321913Z   test_variant_consistency_jit_linalg_cond_cpu_float32 (__main__.TestJitCPU) ... ok (0.623s)
2022-05-18T04:03:04.3479732Z   test_variant_consistency_jit_linalg_cross_cpu_complex64 (__main__.TestJitCPU) ... ok (1.216s)
2022-05-18T04:03:04.9363936Z   test_variant_consistency_jit_linalg_cross_cpu_float32 (__main__.TestJitCPU) ... ok (0.588s)
2022-05-18T04:03:11.7813254Z   test_variant_consistency_jit_linalg_det_cpu_complex64 (__main__.TestJitCPU) ... ok (6.845s)
2022-05-18T04:03:15.1638537Z   test_variant_consistency_jit_linalg_det_cpu_float32 (__main__.TestJitCPU) ... ok (3.382s)
2022-05-18T04:03:19.2016915Z   test_variant_consistency_jit_linalg_eig_cpu_complex64 (__main__.TestJitCPU) ... ok (4.038s)
2022-05-18T04:03:21.2352185Z   test_variant_consistency_jit_linalg_eig_cpu_float32 (__main__.TestJitCPU) ... ok (2.033s)
2022-05-18T04:03:25.0837863Z   test_variant_consistency_jit_linalg_eigh_cpu_complex64 (__main__.TestJitCPU) ... ok (3.849s)
2022-05-18T04:03:26.9088611Z   test_variant_consistency_jit_linalg_eigh_cpu_float32 (__main__.TestJitCPU) ... ok (1.825s)
2022-05-18T04:03:30.1020787Z   test_variant_consistency_jit_linalg_eigvals_cpu_complex64 (__main__.TestJitCPU) ... ok (3.193s)
2022-05-18T04:03:31.6831528Z   test_variant_consistency_jit_linalg_eigvals_cpu_float32 (__main__.TestJitCPU) ... ok (1.581s)
2022-05-18T04:03:34.7703665Z   test_variant_consistency_jit_linalg_eigvalsh_cpu_complex64 (__main__.TestJitCPU) ... ok (3.087s)
2022-05-18T04:03:36.2428704Z   test_variant_consistency_jit_linalg_eigvalsh_cpu_float32 (__main__.TestJitCPU) ... ok (1.472s)
2022-05-18T04:03:40.9963556Z   test_variant_consistency_jit_linalg_householder_product_cpu_complex64 (__main__.TestJitCPU) ... ok (4.753s)
2022-05-18T04:03:43.1558295Z   test_variant_consistency_jit_linalg_householder_product_cpu_float32 (__main__.TestJitCPU) ... ok (2.159s)
2022-05-18T04:03:46.1460997Z   test_variant_consistency_jit_linalg_inv_cpu_complex64 (__main__.TestJitCPU) ... ok (2.990s)
2022-05-18T04:03:47.5756928Z   test_variant_consistency_jit_linalg_inv_cpu_float32 (__main__.TestJitCPU) ... ok (1.430s)
2022-05-18T04:03:50.9890504Z   test_variant_consistency_jit_linalg_inv_ex_cpu_complex64 (__main__.TestJitCPU) ... ok (3.413s)
2022-05-18T04:03:52.6556969Z   test_variant_consistency_jit_linalg_inv_ex_cpu_float32 (__main__.TestJitCPU) ... ok (1.667s)
2022-05-18T04:03:53.4354198Z   test_variant_consistency_jit_linalg_ldl_factor_cpu_complex64 (__main__.TestJitCPU) ... ok (0.780s)
2022-05-18T04:03:53.7077402Z   test_variant_consistency_jit_linalg_ldl_factor_cpu_float32 (__main__.TestJitCPU) ... ok (0.272s)
2022-05-18T04:03:54.5520577Z   test_variant_consistency_jit_linalg_ldl_factor_ex_cpu_complex64 (__main__.TestJitCPU) ... ok (0.844s)
2022-05-18T04:03:54.8153022Z   test_variant_consistency_jit_linalg_ldl_factor_ex_cpu_float32 (__main__.TestJitCPU) ... ok (0.263s)
2022-05-18T04:03:57.8013826Z   test_variant_consistency_jit_linalg_ldl_solve_cpu_complex64 (__main__.TestJitCPU) ... ok (2.986s)
2022-05-18T04:03:58.8312257Z   test_variant_consistency_jit_linalg_ldl_solve_cpu_float32 (__main__.TestJitCPU) ... ok (1.030s)
2022-05-18T04:04:20.8280195Z   test_variant_consistency_jit_linalg_lstsq_cpu_complex64 (__main__.TestJitCPU) ... ok (21.997s)
2022-05-18T04:04:31.4246388Z   test_variant_consistency_jit_linalg_lstsq_cpu_float32 (__main__.TestJitCPU) ... ok (10.596s)
2022-05-18T04:04:31.5108953Z   test_variant_consistency_jit_linalg_lstsq_grad_oriented_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.086s)
2022-05-18T04:04:31.5469263Z   test_variant_consistency_jit_linalg_lstsq_grad_oriented_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.036s)
2022-05-18T04:04:39.3505216Z   test_variant_consistency_jit_linalg_lu_cpu_complex64 (__main__.TestJitCPU) ... ok (7.803s)
2022-05-18T04:04:43.2155934Z   test_variant_consistency_jit_linalg_lu_cpu_float32 (__main__.TestJitCPU) ... ok (3.865s)
2022-05-18T04:04:50.3150251Z   test_variant_consistency_jit_linalg_lu_factor_cpu_complex64 (__main__.TestJitCPU) ... ok (7.099s)
2022-05-18T04:04:53.7507213Z   test_variant_consistency_jit_linalg_lu_factor_cpu_float32 (__main__.TestJitCPU) ... ok (3.436s)
2022-05-18T04:05:01.2449935Z   test_variant_consistency_jit_linalg_lu_factor_ex_cpu_complex64 (__main__.TestJitCPU) ... ok (7.494s)
2022-05-18T04:05:05.1955186Z   test_variant_consistency_jit_linalg_lu_factor_ex_cpu_float32 (__main__.TestJitCPU) ... ok (3.950s)
2022-05-18T04:05:36.1377285Z   test_variant_consistency_jit_linalg_matrix_norm_cpu_complex64 (__main__.TestJitCPU) ... ok (30.942s)
2022-05-18T04:05:51.3978363Z   test_variant_consistency_jit_linalg_matrix_norm_cpu_float32 (__main__.TestJitCPU) ... ok (15.260s)
2022-05-18T04:05:58.8501939Z   test_variant_consistency_jit_linalg_matrix_power_cpu_complex64 (__main__.TestJitCPU) ... ok (7.452s)
2022-05-18T04:06:02.4600184Z   test_variant_consistency_jit_linalg_matrix_power_cpu_float32 (__main__.TestJitCPU) ... ok (3.610s)
2022-05-18T04:06:03.4135878Z   test_variant_consistency_jit_linalg_matrix_rank_cpu_complex64 (__main__.TestJitCPU) ... ok (0.954s)
2022-05-18T04:06:03.9102638Z   test_variant_consistency_jit_linalg_matrix_rank_cpu_float32 (__main__.TestJitCPU) ... ok (0.497s)
2022-05-18T04:06:04.8566703Z   test_variant_consistency_jit_linalg_matrix_rank_hermitian_cpu_complex64 (__main__.TestJitCPU) ... ok (0.946s)
2022-05-18T04:06:05.3570987Z   test_variant_consistency_jit_linalg_matrix_rank_hermitian_cpu_float32 (__main__.TestJitCPU) ... ok (0.500s)
2022-05-18T04:06:08.4907809Z   test_variant_consistency_jit_linalg_multi_dot_cpu_complex64 (__main__.TestJitCPU) ... ok (3.134s)
2022-05-18T04:06:09.9953068Z   test_variant_consistency_jit_linalg_multi_dot_cpu_float32 (__main__.TestJitCPU) ... ok (1.504s)
2022-05-18T04:06:20.8156407Z   test_variant_consistency_jit_linalg_norm_cpu_complex64 (__main__.TestJitCPU) ... ok (10.820s)
2022-05-18T04:06:26.0394113Z   test_variant_consistency_jit_linalg_norm_cpu_float32 (__main__.TestJitCPU) ... ok (5.224s)
2022-05-18T04:06:35.8228034Z   test_variant_consistency_jit_linalg_norm_subgradients_at_zero_cpu_complex64 (__main__.TestJitCPU) ... ok (9.783s)
2022-05-18T04:06:40.6771720Z   test_variant_consistency_jit_linalg_norm_subgradients_at_zero_cpu_float32 (__main__.TestJitCPU) ... ok (4.854s)
2022-05-18T04:06:51.8327720Z   test_variant_consistency_jit_linalg_pinv_cpu_complex64 (__main__.TestJitCPU) ... ok (11.156s)
2022-05-18T04:06:57.0782096Z   test_variant_consistency_jit_linalg_pinv_cpu_float32 (__main__.TestJitCPU) ... ok (5.245s)
2022-05-18T04:07:00.7332460Z   test_variant_consistency_jit_linalg_pinv_hermitian_cpu_complex64 (__main__.TestJitCPU) ... ok (3.655s)
2022-05-18T04:07:02.5175039Z   test_variant_consistency_jit_linalg_pinv_hermitian_cpu_float32 (__main__.TestJitCPU) ... ok (1.784s)
2022-05-18T04:07:02.5224117Z   test_variant_consistency_jit_linalg_pinv_singular_cpu_complex64 (__main__.TestJitCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.005s)
2022-05-18T04:07:02.5273634Z   test_variant_consistency_jit_linalg_pinv_singular_cpu_float32 (__main__.TestJitCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.005s)
2022-05-18T04:07:19.5202445Z   test_variant_consistency_jit_linalg_qr_cpu_complex64 (__main__.TestJitCPU) ... ok (16.993s)
2022-05-18T04:07:27.7451353Z   test_variant_consistency_jit_linalg_qr_cpu_float32 (__main__.TestJitCPU) ... ok (8.225s)
2022-05-18T04:07:31.2161048Z   test_variant_consistency_jit_linalg_slogdet_cpu_complex64 (__main__.TestJitCPU) ... ok (3.471s)
2022-05-18T04:07:32.9003752Z   test_variant_consistency_jit_linalg_slogdet_cpu_float32 (__main__.TestJitCPU) ... ok (1.684s)
2022-05-18T04:07:40.1681012Z   test_variant_consistency_jit_linalg_solve_cpu_complex64 (__main__.TestJitCPU) ... ok (7.268s)
2022-05-18T04:07:43.8004379Z   test_variant_consistency_jit_linalg_solve_cpu_float32 (__main__.TestJitCPU) ... ok (3.632s)
2022-05-18T04:10:50.0551521Z   test_variant_consistency_jit_linalg_solve_triangular_cpu_complex64 (__main__.TestJitCPU) ... ok (186.255s)
2022-05-18T04:12:25.4922393Z   test_variant_consistency_jit_linalg_solve_triangular_cpu_float32 (__main__.TestJitCPU) ... ok (95.437s)
2022-05-18T04:14:23.7244699Z   test_variant_consistency_jit_linalg_svd_cpu_complex64 (__main__.TestJitCPU) ... ok (118.232s)
2022-05-18T04:15:20.6096944Z   test_variant_consistency_jit_linalg_svd_cpu_float32 (__main__.TestJitCPU) ... ok (56.885s)
2022-05-18T04:15:35.0231566Z   test_variant_consistency_jit_linalg_svdvals_cpu_complex64 (__main__.TestJitCPU) ... ok (14.413s)
2022-05-18T04:15:42.0419060Z   test_variant_consistency_jit_linalg_svdvals_cpu_float32 (__main__.TestJitCPU) ... ok (7.019s)
2022-05-18T04:15:42.9516671Z   test_variant_consistency_jit_linalg_tensorinv_cpu_complex64 (__main__.TestJitCPU) ... ok (0.910s)
2022-05-18T04:15:43.3964950Z   test_variant_consistency_jit_linalg_tensorinv_cpu_float32 (__main__.TestJitCPU) ... ok (0.445s)
2022-05-18T04:15:45.4206731Z   test_variant_consistency_jit_linalg_tensorsolve_cpu_complex64 (__main__.TestJitCPU) ... ok (2.024s)
2022-05-18T04:15:46.4081268Z   test_variant_consistency_jit_linalg_tensorsolve_cpu_float32 (__main__.TestJitCPU) ... ok (0.987s)
2022-05-18T04:15:50.8169332Z   test_variant_consistency_jit_linalg_vander_cpu_complex64 (__main__.TestJitCPU) ... ok (4.409s)
2022-05-18T04:15:52.9460979Z   test_variant_consistency_jit_linalg_vander_cpu_float32 (__main__.TestJitCPU) ... ok (2.129s)
2022-05-18T04:16:39.1093763Z   test_variant_consistency_jit_linalg_vector_norm_cpu_complex64 (__main__.TestJitCPU) ... ok (46.163s)
2022-05-18T04:17:02.1468621Z   test_variant_consistency_jit_linalg_vector_norm_cpu_float32 (__main__.TestJitCPU) ... ok (23.037s)
2022-05-18T04:17:04.7484286Z   test_variant_consistency_jit_log10_cpu_complex64 (__main__.TestJitCPU) ... ok (2.602s)
2022-05-18T04:17:06.0863526Z   test_variant_consistency_jit_log10_cpu_float32 (__main__.TestJitCPU) ... ok (1.338s)
2022-05-18T04:17:06.5510413Z   test_variant_consistency_jit_log1p_cpu_float32 (__main__.TestJitCPU) ... ok (0.465s)
2022-05-18T04:17:09.1448358Z   test_variant_consistency_jit_log2_cpu_complex64 (__main__.TestJitCPU) ... ok (2.594s)
2022-05-18T04:17:10.4535072Z   test_variant_consistency_jit_log2_cpu_float32 (__main__.TestJitCPU) ... ok (1.309s)
2022-05-18T04:17:13.0151824Z   test_variant_consistency_jit_log_cpu_complex64 (__main__.TestJitCPU) ... ok (2.562s)
2022-05-18T04:17:14.3260809Z   test_variant_consistency_jit_log_cpu_float32 (__main__.TestJitCPU) ... ok (1.311s)
2022-05-18T04:17:17.2339369Z   test_variant_consistency_jit_log_softmax_cpu_float32 (__main__.TestJitCPU) ... ok (2.908s)
2022-05-18T04:17:23.0683118Z   test_variant_consistency_jit_log_softmax_dtype_cpu_complex64 (__main__.TestJitCPU) ... ok (5.834s)
2022-05-18T04:17:25.9625927Z   test_variant_consistency_jit_log_softmax_dtype_cpu_float32 (__main__.TestJitCPU) ... ok (2.894s)
2022-05-18T04:17:26.4057946Z   test_variant_consistency_jit_logaddexp2_cpu_float32 (__main__.TestJitCPU) ... ok (0.443s)
2022-05-18T04:17:26.8249660Z   test_variant_consistency_jit_logaddexp_cpu_float32 (__main__.TestJitCPU) ... ok (0.419s)
2022-05-18T04:17:29.4344796Z   test_variant_consistency_jit_logcumsumexp_cpu_float32 (__main__.TestJitCPU) ... ok (2.609s)
2022-05-18T04:17:31.0850718Z   test_variant_consistency_jit_logdet_cpu_float32 (__main__.TestJitCPU) ... ok (1.650s)
2022-05-18T04:17:33.1880750Z   test_variant_consistency_jit_logical_and_cpu_complex64 (__main__.TestJitCPU) ... ok (2.103s)
2022-05-18T04:17:34.2612563Z   test_variant_consistency_jit_logical_and_cpu_float32 (__main__.TestJitCPU) ... ok (1.073s)
2022-05-18T04:17:34.9139007Z   test_variant_consistency_jit_logical_not_cpu_complex64 (__main__.TestJitCPU) ... ok (0.653s)
2022-05-18T04:17:35.2603670Z   test_variant_consistency_jit_logical_not_cpu_float32 (__main__.TestJitCPU) ... ok (0.346s)
2022-05-18T04:17:37.3602941Z   test_variant_consistency_jit_logical_or_cpu_complex64 (__main__.TestJitCPU) ... ok (2.100s)
2022-05-18T04:17:38.4870142Z   test_variant_consistency_jit_logical_or_cpu_float32 (__main__.TestJitCPU) ... ok (1.127s)
2022-05-18T04:17:40.5687073Z   test_variant_consistency_jit_logical_xor_cpu_complex64 (__main__.TestJitCPU) ... ok (2.082s)
2022-05-18T04:17:41.6641233Z   test_variant_consistency_jit_logical_xor_cpu_float32 (__main__.TestJitCPU) ... ok (1.095s)
2022-05-18T04:17:43.3520143Z   test_variant_consistency_jit_logit_cpu_float32 (__main__.TestJitCPU) ... ok (1.688s)
2022-05-18T04:17:49.6800116Z   test_variant_consistency_jit_logsumexp_cpu_float32 (__main__.TestJitCPU) ... ok (6.328s)
2022-05-18T04:17:49.7629119Z   test_variant_consistency_jit_long_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.083s)
2022-05-18T04:17:49.8475321Z   test_variant_consistency_jit_long_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.085s)
2022-05-18T04:17:51.2986477Z   test_variant_consistency_jit_lt_cpu_float32 (__main__.TestJitCPU) ... ok (1.451s)
2022-05-18T04:17:51.8206754Z   test_variant_consistency_jit_lu_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.522s)
2022-05-18T04:17:52.2342719Z   test_variant_consistency_jit_lu_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.413s)
2022-05-18T04:19:05.4887921Z   test_variant_consistency_jit_lu_solve_cpu_complex64 (__main__.TestJitCPU) ... ok (73.254s)
2022-05-18T04:19:41.4866592Z   test_variant_consistency_jit_lu_solve_cpu_float32 (__main__.TestJitCPU) ... ok (35.998s)
2022-05-18T04:19:49.7606811Z   test_variant_consistency_jit_lu_unpack_cpu_complex64 (__main__.TestJitCPU) ... ok (8.274s)
2022-05-18T04:19:53.8020900Z   test_variant_consistency_jit_lu_unpack_cpu_float32 (__main__.TestJitCPU) ... ok (4.041s)
2022-05-18T04:19:53.8141830Z   test_variant_consistency_jit_mH_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.012s)
2022-05-18T04:19:53.8239047Z   test_variant_consistency_jit_mH_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.010s)
2022-05-18T04:19:53.8384443Z   test_variant_consistency_jit_mT_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.014s)
2022-05-18T04:19:53.8470324Z   test_variant_consistency_jit_mT_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.008s)
2022-05-18T04:20:00.6731780Z   test_variant_consistency_jit_masked_fill_cpu_complex64 (__main__.TestJitCPU) ... ok (6.826s)
2022-05-18T04:20:04.2127917Z   test_variant_consistency_jit_masked_fill_cpu_float32 (__main__.TestJitCPU) ... ok (3.540s)
2022-05-18T04:20:07.9178320Z   test_variant_consistency_jit_masked_scatter_cpu_complex64 (__main__.TestJitCPU) ... ok (3.705s)
2022-05-18T04:20:09.7185211Z   test_variant_consistency_jit_masked_scatter_cpu_float32 (__main__.TestJitCPU) ... ok (1.801s)
2022-05-18T04:20:15.4939297Z   test_variant_consistency_jit_masked_select_cpu_complex64 (__main__.TestJitCPU) ... ok (5.775s)
2022-05-18T04:20:18.3631200Z   test_variant_consistency_jit_masked_select_cpu_float32 (__main__.TestJitCPU) ... ok (2.869s)
2022-05-18T04:20:32.7847359Z   test_variant_consistency_jit_matmul_cpu_complex64 (__main__.TestJitCPU) ... ok (14.421s)
2022-05-18T04:20:40.7929837Z   test_variant_consistency_jit_matmul_cpu_float32 (__main__.TestJitCPU) ... ok (8.008s)
2022-05-18T04:20:43.3993895Z   test_variant_consistency_jit_matrix_exp_cpu_complex64 (__main__.TestJitCPU) ... ok (2.606s)
2022-05-18T04:20:44.6700081Z   test_variant_consistency_jit_matrix_exp_cpu_float32 (__main__.TestJitCPU) ... ok (1.271s)
2022-05-18T04:20:49.5545041Z   test_variant_consistency_jit_max_binary_cpu_float32 (__main__.TestJitCPU) ... ok (4.884s)
2022-05-18T04:20:50.3151319Z   test_variant_consistency_jit_max_reduction_no_dim_cpu_float32 (__main__.TestJitCPU) ... ok (0.761s)
2022-05-18T04:20:52.2766259Z   test_variant_consistency_jit_max_reduction_with_dim_cpu_float32 (__main__.TestJitCPU) ... ok (1.961s)
2022-05-18T04:20:56.0148966Z   test_variant_consistency_jit_maximum_cpu_float32 (__main__.TestJitCPU) ... ok (3.738s)
2022-05-18T04:21:16.8879155Z   test_variant_consistency_jit_mean_cpu_complex64 (__main__.TestJitCPU) ... ok (20.873s)
2022-05-18T04:21:28.0739077Z   test_variant_consistency_jit_mean_cpu_float32 (__main__.TestJitCPU) ... ok (11.186s)
2022-05-18T04:21:33.8539763Z   test_variant_consistency_jit_median_cpu_float32 (__main__.TestJitCPU) ... ok (5.780s)
2022-05-18T04:21:39.2802593Z   test_variant_consistency_jit_meshgrid_list_of_tensors_cpu_complex64 (__main__.TestJitCPU) ... ok (5.426s)
2022-05-18T04:21:41.9633111Z   test_variant_consistency_jit_meshgrid_list_of_tensors_cpu_float32 (__main__.TestJitCPU) ... ok (2.683s)
2022-05-18T04:21:41.9812562Z   test_variant_consistency_jit_meshgrid_variadic_tensors_cpu_complex64 (__main__.TestJitCPU) ... skip: Skipped! (0.018s)
2022-05-18T04:21:41.9852738Z   test_variant_consistency_jit_meshgrid_variadic_tensors_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T04:21:46.7607746Z   test_variant_consistency_jit_min_binary_cpu_float32 (__main__.TestJitCPU) ... ok (4.775s)
2022-05-18T04:21:47.5346328Z   test_variant_consistency_jit_min_reduction_no_dim_cpu_float32 (__main__.TestJitCPU) ... ok (0.774s)
2022-05-18T04:21:49.4162218Z   test_variant_consistency_jit_min_reduction_with_dim_cpu_float32 (__main__.TestJitCPU) ... ok (1.881s)
2022-05-18T04:21:53.1621288Z   test_variant_consistency_jit_minimum_cpu_float32 (__main__.TestJitCPU) ... ok (3.746s)
2022-05-18T04:21:55.1079201Z   test_variant_consistency_jit_mm_cpu_complex64 (__main__.TestJitCPU) ... ok (1.946s)
2022-05-18T04:21:55.6190836Z   test_variant_consistency_jit_mm_cpu_float32 (__main__.TestJitCPU) ... ok (0.511s)
2022-05-18T04:21:58.4148567Z   test_variant_consistency_jit_mode_cpu_float32 (__main__.TestJitCPU) ... ok (2.796s)
2022-05-18T04:22:00.4866755Z   test_variant_consistency_jit_movedim_cpu_complex64 (__main__.TestJitCPU) ... ok (2.072s)
2022-05-18T04:22:01.5327027Z   test_variant_consistency_jit_movedim_cpu_float32 (__main__.TestJitCPU) ... ok (1.046s)
2022-05-18T04:22:04.2744926Z   test_variant_consistency_jit_msort_cpu_float32 (__main__.TestJitCPU) ... ok (2.742s)
2022-05-18T04:22:13.5660591Z   test_variant_consistency_jit_mul_cpu_complex64 (__main__.TestJitCPU) ... ok (9.291s)
2022-05-18T04:22:18.4561628Z   test_variant_consistency_jit_mul_cpu_float32 (__main__.TestJitCPU) ... ok (4.890s)
2022-05-18T04:22:18.4627457Z   test_variant_consistency_jit_multinomial_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.007s)
2022-05-18T04:22:19.4166474Z   test_variant_consistency_jit_mv_cpu_complex64 (__main__.TestJitCPU) ... ok (0.954s)
2022-05-18T04:22:19.9150828Z   test_variant_consistency_jit_mv_cpu_float32 (__main__.TestJitCPU) ... ok (0.498s)
2022-05-18T04:22:24.2378778Z   test_variant_consistency_jit_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestJitCPU) ... ok (4.323s)
2022-05-18T04:22:24.2415456Z   test_variant_consistency_jit_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T04:22:24.2452342Z   test_variant_consistency_jit_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T04:22:25.4334384Z   test_variant_consistency_jit_nan_to_num_cpu_float32 (__main__.TestJitCPU) ... ok (1.188s)
2022-05-18T04:22:25.4379126Z   test_variant_consistency_jit_nanmean_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.005s)
2022-05-18T04:22:31.1515472Z   test_variant_consistency_jit_nanmedian_cpu_float32 (__main__.TestJitCPU) ... ok (5.713s)
2022-05-18T04:23:02.4967610Z   test_variant_consistency_jit_nanquantile_cpu_float32 (__main__.TestJitCPU) ... ok (31.345s)
2022-05-18T04:23:11.4155042Z   test_variant_consistency_jit_nansum_cpu_float32 (__main__.TestJitCPU) ... ok (8.919s)
2022-05-18T04:23:15.7674662Z   test_variant_consistency_jit_narrow_cpu_complex64 (__main__.TestJitCPU) ... ok (4.352s)
2022-05-18T04:23:17.9505587Z   test_variant_consistency_jit_narrow_cpu_float32 (__main__.TestJitCPU) ... ok (2.183s)
2022-05-18T04:23:20.0589827Z   test_variant_consistency_jit_ne_cpu_complex64 (__main__.TestJitCPU) ... ok (2.108s)
2022-05-18T04:23:21.5129851Z   test_variant_consistency_jit_ne_cpu_float32 (__main__.TestJitCPU) ... ok (1.454s)
2022-05-18T04:23:22.3913667Z   test_variant_consistency_jit_neg_cpu_complex64 (__main__.TestJitCPU) ... ok (0.878s)
2022-05-18T04:23:22.8393949Z   test_variant_consistency_jit_neg_cpu_float32 (__main__.TestJitCPU) ... ok (0.448s)
2022-05-18T04:23:22.8437185Z   test_variant_consistency_jit_new_empty_cpu_complex64 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T04:23:22.8480005Z   test_variant_consistency_jit_new_empty_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T04:23:23.9928852Z   test_variant_consistency_jit_new_full_cpu_complex64 (__main__.TestJitCPU) ... ok (1.145s)
2022-05-18T04:23:24.5784062Z   test_variant_consistency_jit_new_full_cpu_float32 (__main__.TestJitCPU) ... ok (0.585s)
2022-05-18T04:23:25.6679774Z   test_variant_consistency_jit_new_ones_cpu_complex64 (__main__.TestJitCPU) ... ok (1.090s)
2022-05-18T04:23:26.2468449Z   test_variant_consistency_jit_new_ones_cpu_float32 (__main__.TestJitCPU) ... ok (0.579s)
2022-05-18T04:23:27.3375734Z   test_variant_consistency_jit_new_zeros_cpu_complex64 (__main__.TestJitCPU) ... ok (1.091s)
2022-05-18T04:23:27.9064202Z   test_variant_consistency_jit_new_zeros_cpu_float32 (__main__.TestJitCPU) ... ok (0.569s)
2022-05-18T04:23:29.0616844Z   test_variant_consistency_jit_nextafter_cpu_float32 (__main__.TestJitCPU) ... ok (1.155s)
2022-05-18T04:23:29.8335378Z   test_variant_consistency_jit_nn_functional_adaptive_avg_pool1d_cpu_float32 (__main__.TestJitCPU) ... ok (0.772s)
2022-05-18T04:23:30.2015497Z   test_variant_consistency_jit_nn_functional_adaptive_avg_pool2d_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.368s)
2022-05-18T04:23:30.5453496Z   test_variant_consistency_jit_nn_functional_adaptive_avg_pool3d_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.344s)
2022-05-18T04:23:31.7069735Z   test_variant_consistency_jit_nn_functional_adaptive_max_pool1d_cpu_float32 (__main__.TestJitCPU) ... ok (1.162s)
2022-05-18T04:23:32.3965421Z   test_variant_consistency_jit_nn_functional_adaptive_max_pool2d_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.689s)
2022-05-18T04:23:32.4081575Z   test_variant_consistency_jit_nn_functional_adaptive_max_pool3d_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.012s)
2022-05-18T04:23:34.7959791Z   test_variant_consistency_jit_nn_functional_avg_pool1d_cpu_float32 (__main__.TestJitCPU) ... ok (2.388s)
2022-05-18T04:23:36.9905570Z   test_variant_consistency_jit_nn_functional_avg_pool2d_cpu_float32 (__main__.TestJitCPU) ... ok (2.194s)
2022-05-18T04:23:39.3274658Z   test_variant_consistency_jit_nn_functional_avg_pool3d_cpu_float32 (__main__.TestJitCPU) ... ok (2.337s)
2022-05-18T04:23:44.8387941Z   test_variant_consistency_jit_nn_functional_batch_norm_cpu_float32 (__main__.TestJitCPU) ... ok (5.511s)
2022-05-18T04:23:49.7124787Z   test_variant_consistency_jit_nn_functional_bilinear_cpu_float32 (__main__.TestJitCPU) ... ok (4.873s)
2022-05-18T04:23:50.0094362Z   test_variant_consistency_jit_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.297s)
2022-05-18T04:23:50.0140282Z   test_variant_consistency_jit_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T04:23:50.7242298Z   test_variant_consistency_jit_nn_functional_celu_cpu_float32 (__main__.TestJitCPU) ... ok (0.710s)
2022-05-18T04:23:50.7285205Z   test_variant_consistency_jit_nn_functional_conv1d_cpu_complex64 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T04:23:50.7326623Z   test_variant_consistency_jit_nn_functional_conv1d_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T04:23:50.7366634Z   test_variant_consistency_jit_nn_functional_conv2d_cpu_complex64 (__main__.TestJitCPU) ... skip: Works on some configs! (0.004s)
2022-05-18T04:23:50.7406541Z   test_variant_consistency_jit_nn_functional_conv2d_cpu_float32 (__main__.TestJitCPU) ... skip: Works on some configs! (0.004s)
2022-05-18T04:23:52.3382917Z   test_variant_consistency_jit_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestJitCPU) ... expected failure (1.597s)
2022-05-18T04:23:52.3432005Z   test_variant_consistency_jit_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.005s)
2022-05-18T04:23:52.3477680Z   test_variant_consistency_jit_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T04:23:55.1198416Z   test_variant_consistency_jit_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestJitCPU) ... ok (2.772s)
2022-05-18T04:23:57.4971790Z   test_variant_consistency_jit_nn_functional_cosine_similarity_cpu_float32 (__main__.TestJitCPU) ... ok (2.377s)
2022-05-18T04:24:06.1984090Z   test_variant_consistency_jit_nn_functional_cross_entropy_cpu_float32 (__main__.TestJitCPU) ... ok (8.701s)
2022-05-18T04:24:06.2031486Z   test_variant_consistency_jit_nn_functional_ctc_loss_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.005s)
2022-05-18T04:24:06.2134123Z   test_variant_consistency_jit_nn_functional_dropout2d_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.010s)
2022-05-18T04:24:06.2245825Z   test_variant_consistency_jit_nn_functional_dropout_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.011s)
2022-05-18T04:24:06.9720170Z   test_variant_consistency_jit_nn_functional_elu_cpu_float32 (__main__.TestJitCPU) ... ok (0.747s)
2022-05-18T04:24:06.9939029Z   test_variant_consistency_jit_nn_functional_embedding_bag_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.022s)
2022-05-18T04:24:07.0006995Z   test_variant_consistency_jit_nn_functional_embedding_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.007s)
2022-05-18T04:24:07.0097147Z   test_variant_consistency_jit_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.009s)
2022-05-18T04:24:07.0241225Z   test_variant_consistency_jit_nn_functional_feature_alpha_dropout_without_train_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.014s)
2022-05-18T04:24:07.0317054Z   test_variant_consistency_jit_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.007s)
2022-05-18T04:24:07.0460130Z   test_variant_consistency_jit_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.014s)
2022-05-18T04:24:07.0638763Z   test_variant_consistency_jit_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.018s)
2022-05-18T04:24:07.0681566Z   test_variant_consistency_jit_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T04:24:09.0027008Z   test_variant_consistency_jit_nn_functional_gelu_cpu_float32 (__main__.TestJitCPU) ... ok (1.934s)
2022-05-18T04:24:20.9192863Z   test_variant_consistency_jit_nn_functional_glu_cpu_float32 (__main__.TestJitCPU) ... ok (11.916s)
2022-05-18T04:24:28.3207008Z   test_variant_consistency_jit_nn_functional_grid_sample_cpu_float32 (__main__.TestJitCPU) ... ok (7.401s)
2022-05-18T04:24:28.4411829Z   test_variant_consistency_jit_nn_functional_group_norm_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.120s)
2022-05-18T04:24:30.6344327Z   test_variant_consistency_jit_nn_functional_hardshrink_cpu_float32 (__main__.TestJitCPU) ... ok (2.193s)
2022-05-18T04:24:31.1418230Z   test_variant_consistency_jit_nn_functional_hardsigmoid_cpu_float32 (__main__.TestJitCPU) ... ok (0.507s)
2022-05-18T04:24:31.8285951Z   test_variant_consistency_jit_nn_functional_hardswish_cpu_float32 (__main__.TestJitCPU) ... ok (0.687s)
2022-05-18T04:24:34.5050465Z   test_variant_consistency_jit_nn_functional_hardtanh_cpu_float32 (__main__.TestJitCPU) ... ok (2.676s)
2022-05-18T04:24:38.2998464Z   test_variant_consistency_jit_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestJitCPU) ... ok (3.795s)
2022-05-18T04:24:38.3036630Z   test_variant_consistency_jit_nn_functional_huber_loss_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T04:24:38.4311835Z   test_variant_consistency_jit_nn_functional_instance_norm_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.127s)
2022-05-18T04:24:41.4187420Z   test_variant_consistency_jit_nn_functional_interpolate_area_cpu_float32 (__main__.TestJitCPU) ... expected failure (2.987s)
2022-05-18T04:24:43.7016283Z   test_variant_consistency_jit_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestJitCPU) ... expected failure (2.283s)
2022-05-18T04:24:45.9470212Z   test_variant_consistency_jit_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestJitCPU) ... expected failure (2.245s)
2022-05-18T04:24:48.1966614Z   test_variant_consistency_jit_nn_functional_interpolate_linear_cpu_float32 (__main__.TestJitCPU) ... expected failure (2.249s)
2022-05-18T04:24:50.4341457Z   test_variant_consistency_jit_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestJitCPU) ... expected failure (2.237s)
2022-05-18T04:24:52.7052466Z   test_variant_consistency_jit_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestJitCPU) ... expected failure (2.271s)
2022-05-18T04:24:52.7165540Z   test_variant_consistency_jit_nn_functional_kl_div_cpu_float32 (__main__.TestJitCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2854: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:52.7166270Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2022-05-18T04:24:52.8211812Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:52.8212314Z   warnings.warn(
2022-05-18T04:24:52.8366103Z code/__torch__/torch/nn/functional.py:18: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:52.8452222Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:52.8452720Z   warnings.warn(
2022-05-18T04:24:52.8538714Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:52.8539190Z   warnings.warn(
2022-05-18T04:24:52.9359732Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:52.9360455Z   warnings.warn(
2022-05-18T04:24:52.9537264Z code/__torch__/torch/nn/functional.py:18: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:52.9643386Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:52.9643869Z   warnings.warn(
2022-05-18T04:24:52.9732794Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:52.9733268Z   warnings.warn(
2022-05-18T04:24:53.0572351Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:53.0572859Z   warnings.warn(
2022-05-18T04:24:53.0733237Z code/__torch__/torch/nn/functional.py:18: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:53.0826857Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:53.0827351Z   warnings.warn(
2022-05-18T04:24:53.0911927Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:53.0912443Z   warnings.warn(
2022-05-18T04:24:53.3198506Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:53.3199191Z   warnings.warn(
2022-05-18T04:24:53.3364446Z code/__torch__/torch/nn/functional.py:18: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:53.3454056Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:53.3454544Z   warnings.warn(
2022-05-18T04:24:53.3539621Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:53.3540339Z   warnings.warn(
2022-05-18T04:24:53.4308689Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:53.4309231Z   warnings.warn(
2022-05-18T04:24:53.4469017Z code/__torch__/torch/nn/functional.py:18: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:53.4564998Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:53.4565524Z   warnings.warn(
2022-05-18T04:24:53.4649842Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:53.4650344Z   warnings.warn(
2022-05-18T04:24:53.5703705Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:53.5704225Z   warnings.warn(
2022-05-18T04:24:53.5878894Z code/__torch__/torch/nn/functional.py:18: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:53.5976959Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:53.5977432Z   warnings.warn(
2022-05-18T04:24:53.6061073Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:53.6061561Z   warnings.warn(
2022-05-18T04:24:53.8118594Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:53.8119112Z   warnings.warn(
2022-05-18T04:24:53.8279014Z code/__torch__/torch/nn/functional.py:18: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:53.8364551Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:53.8365031Z   warnings.warn(
2022-05-18T04:24:53.8446675Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:53.8447152Z   warnings.warn(
2022-05-18T04:24:53.9302073Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:53.9302575Z   warnings.warn(
2022-05-18T04:24:53.9458268Z code/__torch__/torch/nn/functional.py:18: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:53.9543275Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:53.9543776Z   warnings.warn(
2022-05-18T04:24:53.9622077Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:53.9622584Z   warnings.warn(
2022-05-18T04:24:54.0402329Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:54.0402824Z   warnings.warn(
2022-05-18T04:24:54.0551310Z code/__torch__/torch/nn/functional.py:18: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:54.0632328Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:54.0632821Z   warnings.warn(
2022-05-18T04:24:54.0714346Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:54.0714820Z   warnings.warn(
2022-05-18T04:24:54.3001081Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:54.3001829Z   warnings.warn(
2022-05-18T04:24:54.3159705Z code/__torch__/torch/nn/functional.py:18: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:54.3252192Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:54.3252675Z   warnings.warn(
2022-05-18T04:24:54.3340022Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:54.3352923Z   warnings.warn(
2022-05-18T04:24:54.4161192Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:54.4161684Z   warnings.warn(
2022-05-18T04:24:54.4313317Z code/__torch__/torch/nn/functional.py:18: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:54.4398047Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:54.4398542Z   warnings.warn(
2022-05-18T04:24:54.4480867Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:54.4481363Z   warnings.warn(
2022-05-18T04:24:54.5300725Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:54.5301209Z   warnings.warn(
2022-05-18T04:24:54.5453883Z code/__torch__/torch/nn/functional.py:18: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:54.5539454Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:54.5540108Z   warnings.warn(
2022-05-18T04:24:54.5620134Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:54.5620622Z   warnings.warn(
2022-05-18T04:24:54.7736914Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:54.7737400Z   warnings.warn(
2022-05-18T04:24:54.7890444Z code/__torch__/torch/nn/functional.py:18: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:54.7978491Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:54.7978968Z   warnings.warn(
2022-05-18T04:24:54.8063036Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:54.8063517Z   warnings.warn(
2022-05-18T04:24:54.8834809Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:54.8835280Z   warnings.warn(
2022-05-18T04:24:54.8982645Z code/__torch__/torch/nn/functional.py:18: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:54.9065632Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:54.9066122Z   warnings.warn(
2022-05-18T04:24:54.9145269Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:54.9145743Z   warnings.warn(
2022-05-18T04:24:55.0091890Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:55.0092661Z   warnings.warn(
2022-05-18T04:24:55.0247235Z code/__torch__/torch/nn/functional.py:18: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:55.0331182Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:55.0331819Z   warnings.warn(
2022-05-18T04:24:55.0409596Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:55.0410058Z   warnings.warn(
2022-05-18T04:24:55.2494899Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:55.2495423Z   warnings.warn(
2022-05-18T04:24:55.2808523Z code/__torch__/torch/nn/functional.py:18: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:55.2898930Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:55.2899412Z   warnings.warn(
2022-05-18T04:24:55.2983699Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:55.2984174Z   warnings.warn(
2022-05-18T04:24:55.3747411Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:55.3747903Z   warnings.warn(
2022-05-18T04:24:55.3906281Z code/__torch__/torch/nn/functional.py:18: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:55.4003923Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:55.4004395Z   warnings.warn(
2022-05-18T04:24:55.4088717Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:55.4089425Z   warnings.warn(
2022-05-18T04:24:55.4923037Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:55.4923503Z   warnings.warn(
2022-05-18T04:24:55.5081348Z code/__torch__/torch/nn/functional.py:18: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:55.5169637Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:55.5170111Z   warnings.warn(
2022-05-18T04:24:55.5250290Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:24:55.5250747Z   warnings.warn(
2022-05-18T04:24:58.7555413Z ok (6.050s)
2022-05-18T04:25:01.2008810Z   test_variant_consistency_jit_nn_functional_l1_loss_cpu_complex64 (__main__.TestJitCPU) ... ok (2.445s)
2022-05-18T04:25:01.6807747Z   test_variant_consistency_jit_nn_functional_l1_loss_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.480s)
2022-05-18T04:25:03.9746715Z   test_variant_consistency_jit_nn_functional_layer_norm_cpu_float32 (__main__.TestJitCPU) ... ok (2.294s)
2022-05-18T04:25:06.7196339Z   test_variant_consistency_jit_nn_functional_leaky_relu_cpu_float32 (__main__.TestJitCPU) ... ok (2.745s)
2022-05-18T04:25:15.7884451Z   test_variant_consistency_jit_nn_functional_linear_cpu_complex64 (__main__.TestJitCPU) ... ok (9.069s)
2022-05-18T04:25:20.9034561Z   test_variant_consistency_jit_nn_functional_linear_cpu_float32 (__main__.TestJitCPU) ... ok (5.115s)
2022-05-18T04:25:21.8323622Z   test_variant_consistency_jit_nn_functional_local_response_norm_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.929s)
2022-05-18T04:25:22.4281211Z   test_variant_consistency_jit_nn_functional_logsigmoid_cpu_float32 (__main__.TestJitCPU) ... ok (0.595s)
2022-05-18T04:25:26.4782202Z   test_variant_consistency_jit_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestJitCPU) ... ok (4.050s)
2022-05-18T04:30:29.8011136Z   test_variant_consistency_jit_nn_functional_max_pool1d_cpu_float32 (__main__.TestJitCPU) ... ok (303.323s)
2022-05-18T04:30:29.8053937Z   test_variant_consistency_jit_nn_functional_max_pool2d_cpu_float32 (__main__.TestJitCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s)
2022-05-18T04:34:12.8327087Z   test_variant_consistency_jit_nn_functional_max_pool3d_cpu_float32 (__main__.TestJitCPU) ... ok (223.027s)
2022-05-18T04:36:01.6604932Z   test_variant_consistency_jit_nn_functional_max_unpool1d_cpu_float32 (__main__.TestJitCPU) ... ok (108.828s)
2022-05-18T04:36:11.8499739Z   test_variant_consistency_jit_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestJitCPU) ... ok (10.189s)
2022-05-18T04:39:31.7142083Z   test_variant_consistency_jit_nn_functional_max_unpool2d_cpu_float32 (__main__.TestJitCPU) ... ok (199.864s)
2022-05-18T04:39:44.7448099Z   test_variant_consistency_jit_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestJitCPU) ... ok (13.031s)
2022-05-18T04:41:00.7747500Z   test_variant_consistency_jit_nn_functional_max_unpool3d_cpu_float32 (__main__.TestJitCPU) ... ok (76.030s)
2022-05-18T04:41:11.1011365Z   test_variant_consistency_jit_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestJitCPU) ... ok (10.326s)
2022-05-18T04:41:11.9240069Z   test_variant_consistency_jit_nn_functional_mish_cpu_float32 (__main__.TestJitCPU) ... ok (0.823s)
2022-05-18T04:41:12.4745449Z   test_variant_consistency_jit_nn_functional_mse_loss_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.550s)
2022-05-18T04:41:14.2336324Z   test_variant_consistency_jit_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestJitCPU) ... ok (1.759s)
2022-05-18T04:41:15.1356575Z   test_variant_consistency_jit_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestJitCPU) ... ok (0.902s)
2022-05-18T04:41:19.0258169Z   test_variant_consistency_jit_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestJitCPU) ... ok (3.890s)
2022-05-18T04:41:19.0299274Z   test_variant_consistency_jit_nn_functional_nll_loss_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T04:41:26.7375360Z   test_variant_consistency_jit_nn_functional_normalize_cpu_complex64 (__main__.TestJitCPU) ... ok (7.707s)
2022-05-18T04:41:31.0168709Z   test_variant_consistency_jit_nn_functional_normalize_cpu_float32 (__main__.TestJitCPU) ... ok (4.279s)
2022-05-18T04:41:35.6008877Z   test_variant_consistency_jit_nn_functional_pad_circular_cpu_complex64 (__main__.TestJitCPU) ... ok (4.584s)
2022-05-18T04:41:35.6050173Z   test_variant_consistency_jit_nn_functional_pad_circular_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T04:42:02.7055242Z   test_variant_consistency_jit_nn_functional_pad_constant_cpu_complex64 (__main__.TestJitCPU) ... ok (27.100s)
2022-05-18T04:42:16.3492187Z   test_variant_consistency_jit_nn_functional_pad_constant_cpu_float32 (__main__.TestJitCPU) ... ok (13.644s)
2022-05-18T04:42:22.9044526Z   test_variant_consistency_jit_nn_functional_pad_reflect_cpu_complex64 (__main__.TestJitCPU) ... ok (6.555s)
2022-05-18T04:42:22.9085223Z   test_variant_consistency_jit_nn_functional_pad_reflect_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T04:42:29.4972535Z   test_variant_consistency_jit_nn_functional_pad_replicate_cpu_complex64 (__main__.TestJitCPU) ... ok (6.588s)
2022-05-18T04:42:29.5194949Z   test_variant_consistency_jit_nn_functional_pad_replicate_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.022s)
2022-05-18T04:42:29.5263108Z   test_variant_consistency_jit_nn_functional_pairwise_distance_cpu_complex64 (__main__.TestJitCPU) ... skip: Skipped! (0.007s)
2022-05-18T04:42:29.5324929Z   test_variant_consistency_jit_nn_functional_pairwise_distance_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.006s)
2022-05-18T04:42:30.8388651Z   test_variant_consistency_jit_nn_functional_pdist_cpu_float32 (__main__.TestJitCPU) ... ok (1.306s)
2022-05-18T04:42:30.8431438Z   test_variant_consistency_jit_nn_functional_pixel_shuffle_cpu_complex64 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T04:42:30.8480435Z   test_variant_consistency_jit_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.005s)
2022-05-18T04:42:30.8687932Z   test_variant_consistency_jit_nn_functional_pixel_unshuffle_cpu_complex64 (__main__.TestJitCPU) ... skip: Skipped! (0.021s)
2022-05-18T04:42:30.8728673Z   test_variant_consistency_jit_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T04:43:07.4879860Z   test_variant_consistency_jit_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestJitCPU) ... ok (36.615s)
2022-05-18T04:43:12.0127981Z   test_variant_consistency_jit_nn_functional_prelu_cpu_float32 (__main__.TestJitCPU) ... expected failure (4.525s)
2022-05-18T04:43:14.8259224Z   test_variant_consistency_jit_nn_functional_relu6_cpu_float32 (__main__.TestJitCPU) ... ok (2.813s)
2022-05-18T04:43:16.0146475Z   test_variant_consistency_jit_nn_functional_relu_cpu_float32 (__main__.TestJitCPU) ... ok (1.189s)
2022-05-18T04:43:16.0205337Z   test_variant_consistency_jit_nn_functional_rrelu_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.006s)
2022-05-18T04:43:16.8446991Z   test_variant_consistency_jit_nn_functional_selu_cpu_float32 (__main__.TestJitCPU) ... ok (0.824s)
2022-05-18T04:43:17.3468216Z   test_variant_consistency_jit_nn_functional_silu_complex_cpu_complex64 (__main__.TestJitCPU) ... ok (0.502s)
2022-05-18T04:43:18.1229292Z   test_variant_consistency_jit_nn_functional_silu_cpu_float32 (__main__.TestJitCPU) ... ok (0.776s)
2022-05-18T04:43:18.6678211Z   test_variant_consistency_jit_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.545s)
2022-05-18T04:43:21.5104119Z   test_variant_consistency_jit_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestJitCPU) ... ok (2.842s)
2022-05-18T04:43:24.0756320Z   test_variant_consistency_jit_nn_functional_softmin_cpu_float32 (__main__.TestJitCPU) ... ok (2.565s)
2022-05-18T04:43:29.0791268Z   test_variant_consistency_jit_nn_functional_softmin_with_dtype_cpu_complex64 (__main__.TestJitCPU) ... ok (5.003s)
2022-05-18T04:43:31.6688598Z   test_variant_consistency_jit_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestJitCPU) ... ok (2.590s)
2022-05-18T04:43:32.5478428Z   test_variant_consistency_jit_nn_functional_softplus_cpu_float32 (__main__.TestJitCPU) ... ok (0.879s)
2022-05-18T04:43:34.6133834Z   test_variant_consistency_jit_nn_functional_softshrink_cpu_float32 (__main__.TestJitCPU) ... ok (2.065s)
2022-05-18T04:43:36.9247546Z   test_variant_consistency_jit_nn_functional_softsign_cpu_complex64 (__main__.TestJitCPU) ... ok (2.311s)
2022-05-18T04:43:38.1158218Z   test_variant_consistency_jit_nn_functional_softsign_cpu_float32 (__main__.TestJitCPU) ... ok (1.191s)
2022-05-18T04:43:40.1006805Z   test_variant_consistency_jit_nn_functional_tanhshrink_cpu_complex64 (__main__.TestJitCPU) ... ok (1.985s)
2022-05-18T04:43:41.1693357Z   test_variant_consistency_jit_nn_functional_tanhshrink_cpu_float32 (__main__.TestJitCPU) ... ok (1.069s)
2022-05-18T04:43:42.5107007Z   test_variant_consistency_jit_nn_functional_threshold_cpu_float32 (__main__.TestJitCPU) ... ok (1.341s)
2022-05-18T04:43:50.0337408Z   test_variant_consistency_jit_nn_functional_triplet_margin_loss_cpu_complex64 (__main__.TestJitCPU) ... ok (7.523s)
2022-05-18T04:43:53.7411175Z   test_variant_consistency_jit_nn_functional_triplet_margin_loss_cpu_float32 (__main__.TestJitCPU) ... ok (3.707s)
2022-05-18T04:43:53.7719779Z   test_variant_consistency_jit_nn_functional_triplet_margin_with_distance_loss_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.031s)
2022-05-18T04:43:53.7826476Z   test_variant_consistency_jit_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.010s)
2022-05-18T04:43:53.7870048Z   test_variant_consistency_jit_nn_functional_unfold_cpu_complex64 (__main__.TestJitCPU) ... skip: Internal assert failed! (0.004s)
2022-05-18T04:43:53.7911063Z   test_variant_consistency_jit_nn_functional_unfold_cpu_float32 (__main__.TestJitCPU) ... skip: Internal assert failed! (0.004s)
2022-05-18T04:43:53.7969528Z   test_variant_consistency_jit_nn_functional_upsample_bilinear_cpu_float32 (__main__.TestJitCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4007: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:53.7970111Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2022-05-18T04:43:54.4994193Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4007: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:54.4994705Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2022-05-18T04:43:54.5655267Z code/__torch__/torch/nn/functional/___torch_mangle_37452.py:6: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:54.5844819Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4007: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:54.5845322Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2022-05-18T04:43:54.6001915Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4007: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:54.6002392Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2022-05-18T04:43:55.2550273Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4007: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:55.2550783Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2022-05-18T04:43:55.3028762Z code/__torch__/torch/nn/functional/___torch_mangle_37452.py:6: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:55.3220560Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4007: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:55.3221321Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2022-05-18T04:43:55.3381896Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4007: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:55.3382404Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2022-05-18T04:43:56.0026622Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4007: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:56.0027139Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2022-05-18T04:43:56.0481731Z code/__torch__/torch/nn/functional/___torch_mangle_37452.py:6: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:56.0669517Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4007: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:56.0669988Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2022-05-18T04:43:56.0823775Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4007: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:56.0824245Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2022-05-18T04:43:56.2384435Z expected failure (2.447s)
2022-05-18T04:43:56.2474956Z   test_variant_consistency_jit_nn_functional_upsample_nearest_cpu_float32 (__main__.TestJitCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3951: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:56.2475571Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-05-18T04:43:56.9343771Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3951: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:56.9344274Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-05-18T04:43:56.9780566Z code/__torch__/torch/nn/functional/___torch_mangle_37458.py:6: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:56.9957317Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3951: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:56.9957835Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-05-18T04:43:57.0259131Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3951: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:57.0259605Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-05-18T04:43:57.6519862Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3951: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:57.6520342Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-05-18T04:43:57.7169988Z code/__torch__/torch/nn/functional/___torch_mangle_37458.py:6: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:57.7365559Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3951: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:57.7366040Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-05-18T04:43:57.7557300Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3951: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:57.7557786Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-05-18T04:43:58.3981180Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3951: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:58.3981752Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-05-18T04:43:58.4466174Z code/__torch__/torch/nn/functional/___torch_mangle_37458.py:6: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:58.4669636Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3951: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:58.4670108Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-05-18T04:43:58.4865402Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3951: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-05-18T04:43:58.4865877Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-05-18T04:43:58.6312807Z expected failure (2.392s)
2022-05-18T04:43:58.6470392Z   test_variant_consistency_jit_nonzero_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.015s)
2022-05-18T04:43:58.6556772Z   test_variant_consistency_jit_nonzero_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.008s)
2022-05-18T04:45:04.1540059Z   test_variant_consistency_jit_norm_cpu_complex64 (__main__.TestJitCPU) ... ok (65.498s)
2022-05-18T04:45:37.3802553Z   test_variant_consistency_jit_norm_cpu_float32 (__main__.TestJitCPU) ... ok (33.226s)
2022-05-18T04:45:38.7547810Z   test_variant_consistency_jit_norm_fro_cpu_complex64 (__main__.TestJitCPU) ... expected failure (1.374s)
2022-05-18T04:45:40.1228453Z   test_variant_consistency_jit_norm_fro_cpu_float32 (__main__.TestJitCPU) ... expected failure (1.368s)
2022-05-18T04:45:46.4258382Z   test_variant_consistency_jit_norm_inf_cpu_complex64 (__main__.TestJitCPU) ... ok (6.303s)
2022-05-18T04:45:49.5756206Z   test_variant_consistency_jit_norm_inf_cpu_float32 (__main__.TestJitCPU) ... ok (3.150s)
2022-05-18T04:45:50.1414484Z   test_variant_consistency_jit_norm_nuc_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.566s)
2022-05-18T04:45:50.7336667Z   test_variant_consistency_jit_norm_nuc_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.592s)
2022-05-18T04:45:50.7407009Z   test_variant_consistency_jit_normal_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.007s)
2022-05-18T04:45:50.7457682Z   test_variant_consistency_jit_normal_number_mean_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.005s)
2022-05-18T04:45:51.9102980Z   test_variant_consistency_jit_ones_like_cpu_complex64 (__main__.TestJitCPU) ... ok (1.164s)
2022-05-18T04:45:52.5179217Z   test_variant_consistency_jit_ones_like_cpu_float32 (__main__.TestJitCPU) ... ok (0.608s)
2022-05-18T04:46:39.0218491Z   test_variant_consistency_jit_ormqr_cpu_complex64 (__main__.TestJitCPU) ... ok (46.504s)
2022-05-18T04:47:03.0916430Z   test_variant_consistency_jit_ormqr_cpu_float32 (__main__.TestJitCPU) ... ok (24.070s)
2022-05-18T04:47:04.0867098Z   test_variant_consistency_jit_outer_cpu_complex64 (__main__.TestJitCPU) ... ok (0.995s)
2022-05-18T04:47:04.5786831Z   test_variant_consistency_jit_outer_cpu_float32 (__main__.TestJitCPU) ... ok (0.492s)
2022-05-18T04:47:04.6558070Z   test_variant_consistency_jit_pca_lowrank_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.077s)
2022-05-18T04:47:09.0133427Z   test_variant_consistency_jit_permute_cpu_complex64 (__main__.TestJitCPU) ... ok (4.357s)
2022-05-18T04:47:11.4645295Z   test_variant_consistency_jit_permute_cpu_float32 (__main__.TestJitCPU) ... ok (2.451s)
2022-05-18T04:47:20.1239394Z   test_variant_consistency_jit_pinverse_cpu_complex64 (__main__.TestJitCPU) ... ok (8.659s)
2022-05-18T04:47:24.2533571Z   test_variant_consistency_jit_pinverse_cpu_float32 (__main__.TestJitCPU) ... ok (4.129s)
2022-05-18T04:47:26.4973572Z   test_variant_consistency_jit_polar_cpu_float32 (__main__.TestJitCPU) ... ok (2.244s)
2022-05-18T04:47:28.8930095Z   test_variant_consistency_jit_polygamma_polygamma_n_0_cpu_float32 (__main__.TestJitCPU) ... ok (2.396s)
2022-05-18T04:47:28.8967840Z   test_variant_consistency_jit_polygamma_polygamma_n_1_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T04:47:28.9014502Z   test_variant_consistency_jit_polygamma_polygamma_n_2_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.005s)
2022-05-18T04:47:28.9062033Z   test_variant_consistency_jit_polygamma_polygamma_n_3_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.005s)
2022-05-18T04:47:28.9106429Z   test_variant_consistency_jit_polygamma_polygamma_n_4_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T04:47:31.4775747Z   test_variant_consistency_jit_positive_cpu_complex64 (__main__.TestJitCPU) ... ok (2.567s)
2022-05-18T04:47:32.7630768Z   test_variant_consistency_jit_positive_cpu_float32 (__main__.TestJitCPU) ... ok (1.285s)
2022-05-18T04:47:44.3247290Z   test_variant_consistency_jit_pow_cpu_complex64 (__main__.TestJitCPU) ... ok (11.562s)
2022-05-18T04:47:49.7540530Z   test_variant_consistency_jit_pow_cpu_float32 (__main__.TestJitCPU) ... ok (5.429s)
2022-05-18T04:48:25.7371597Z   test_variant_consistency_jit_prod_cpu_complex64 (__main__.TestJitCPU) ... ok (35.983s)
2022-05-18T04:48:43.5766782Z   test_variant_consistency_jit_prod_cpu_float32 (__main__.TestJitCPU) ... ok (17.839s)
2022-05-18T04:49:06.0798762Z   test_variant_consistency_jit_put_cpu_complex64 (__main__.TestJitCPU) ... ok (22.503s)
2022-05-18T04:49:17.3724775Z   test_variant_consistency_jit_put_cpu_float32 (__main__.TestJitCPU) ... ok (11.293s)
2022-05-18T04:49:17.4674780Z   test_variant_consistency_jit_qr_cpu_complex64 (__main__.TestJitCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_jit.py:160: UserWarning: torch.qr is deprecated in favor of torch.linalg.qr and will be removed in a future PyTorch release.
2022-05-18T04:49:17.4675715Z The boolean parameter 'some' has been replaced with a string parameter 'mode'.
2022-05-18T04:49:17.4676414Z Q, R = torch.qr(A, some)
2022-05-18T04:49:17.4676716Z should be replaced with
2022-05-18T04:49:17.4679333Z Q, R = torch.linalg.qr(A, 'reduced' if some else 'complete') (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2497.)
2022-05-18T04:49:17.4679948Z   results = func(*inputs, **kwargs)
2022-05-18T04:50:00.4093423Z ok (43.037s)
2022-05-18T04:50:22.0452396Z   test_variant_consistency_jit_qr_cpu_float32 (__main__.TestJitCPU) ... ok (21.636s)
2022-05-18T04:50:57.6598357Z   test_variant_consistency_jit_quantile_cpu_float32 (__main__.TestJitCPU) ... ok (35.614s)
2022-05-18T04:50:59.0335363Z   test_variant_consistency_jit_rad2deg_cpu_float32 (__main__.TestJitCPU) ... ok (1.374s)
2022-05-18T04:50:59.0464984Z   test_variant_consistency_jit_rand_like_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.013s)
2022-05-18T04:50:59.0540145Z   test_variant_consistency_jit_rand_like_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.007s)
2022-05-18T04:50:59.0614744Z   test_variant_consistency_jit_randint_like_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.007s)
2022-05-18T04:50:59.0735327Z   test_variant_consistency_jit_randn_like_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.012s)
2022-05-18T04:50:59.0802357Z   test_variant_consistency_jit_randn_like_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.007s)
2022-05-18T04:51:00.8628643Z   test_variant_consistency_jit_ravel_cpu_complex64 (__main__.TestJitCPU) ... ok (1.782s)
2022-05-18T04:51:01.7603990Z   test_variant_consistency_jit_ravel_cpu_float32 (__main__.TestJitCPU) ... ok (0.897s)
2022-05-18T04:51:03.0842193Z   test_variant_consistency_jit_real_cpu_complex64 (__main__.TestJitCPU) ... ok (1.324s)
2022-05-18T04:51:03.7303479Z   test_variant_consistency_jit_real_cpu_float32 (__main__.TestJitCPU) ... ok (0.646s)
2022-05-18T04:51:06.7896323Z   test_variant_consistency_jit_reciprocal_cpu_complex64 (__main__.TestJitCPU) ... ok (3.059s)
2022-05-18T04:51:08.3463630Z   test_variant_consistency_jit_reciprocal_cpu_float32 (__main__.TestJitCPU) ... ok (1.557s)
2022-05-18T04:51:13.2655964Z   test_variant_consistency_jit_remainder_cpu_float32 (__main__.TestJitCPU) ... ok (4.919s)
2022-05-18T04:51:17.8870304Z   test_variant_consistency_jit_renorm_cpu_complex64 (__main__.TestJitCPU) ... ok (4.621s)
2022-05-18T04:51:20.0953469Z   test_variant_consistency_jit_renorm_cpu_float32 (__main__.TestJitCPU) ... ok (2.208s)
2022-05-18T04:51:32.5940601Z   test_variant_consistency_jit_repeat_cpu_complex64 (__main__.TestJitCPU) ... ok (12.499s)
2022-05-18T04:51:38.8567325Z   test_variant_consistency_jit_repeat_cpu_float32 (__main__.TestJitCPU) ... ok (6.263s)
2022-05-18T04:51:38.8618732Z   test_variant_consistency_jit_repeat_interleave_cpu_complex64 (__main__.TestJitCPU) ... skip: Skipped! (0.005s)
2022-05-18T04:51:38.8668823Z   test_variant_consistency_jit_repeat_interleave_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.005s)
2022-05-18T04:51:40.7384778Z   test_variant_consistency_jit_reshape_as_cpu_complex64 (__main__.TestJitCPU) ... ok (1.871s)
2022-05-18T04:51:41.7321618Z   test_variant_consistency_jit_reshape_as_cpu_float32 (__main__.TestJitCPU) ... ok (0.994s)
2022-05-18T04:51:53.5644418Z   test_variant_consistency_jit_reshape_cpu_complex64 (__main__.TestJitCPU) ... ok (11.832s)
2022-05-18T04:51:59.5438169Z   test_variant_consistency_jit_reshape_cpu_float32 (__main__.TestJitCPU) ... ok (5.979s)
2022-05-18T04:51:59.6726900Z   test_variant_consistency_jit_resize__cpu_complex64 (__main__.TestJitCPU) ... ok (0.129s)
2022-05-18T04:51:59.8100207Z   test_variant_consistency_jit_resize__cpu_float32 (__main__.TestJitCPU) ... ok (0.137s)
2022-05-18T04:51:59.9556738Z   test_variant_consistency_jit_resize_as__cpu_complex64 (__main__.TestJitCPU) ... ok (0.146s)
2022-05-18T04:52:00.0778381Z   test_variant_consistency_jit_resize_as__cpu_float32 (__main__.TestJitCPU) ... ok (0.122s)
2022-05-18T04:52:01.8857231Z   test_variant_consistency_jit_resolve_conj_cpu_complex64 (__main__.TestJitCPU) ... ok (1.808s)
2022-05-18T04:52:02.7617778Z   test_variant_consistency_jit_resolve_conj_cpu_float32 (__main__.TestJitCPU) ... ok (0.876s)
2022-05-18T04:52:04.5357568Z   test_variant_consistency_jit_resolve_neg_cpu_complex64 (__main__.TestJitCPU) ... ok (1.774s)
2022-05-18T04:52:05.4372354Z   test_variant_consistency_jit_resolve_neg_cpu_float32 (__main__.TestJitCPU) ... ok (0.901s)
2022-05-18T04:52:14.4300761Z   test_variant_consistency_jit_roll_cpu_complex64 (__main__.TestJitCPU) ... ok (8.993s)
2022-05-18T04:52:18.8425489Z   test_variant_consistency_jit_roll_cpu_float32 (__main__.TestJitCPU) ... ok (4.412s)
2022-05-18T04:52:23.1453027Z   test_variant_consistency_jit_rot90_cpu_complex64 (__main__.TestJitCPU) ... ok (4.303s)
2022-05-18T04:52:25.2902713Z   test_variant_consistency_jit_rot90_cpu_float32 (__main__.TestJitCPU) ... ok (2.145s)
2022-05-18T04:52:25.8361514Z   test_variant_consistency_jit_round_cpu_float32 (__main__.TestJitCPU) ... ok (0.546s)
2022-05-18T04:52:27.2872006Z   test_variant_consistency_jit_round_decimals_0_cpu_float32 (__main__.TestJitCPU) ... ok (1.451s)
2022-05-18T04:52:27.2909690Z   test_variant_consistency_jit_round_decimals_3_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T04:52:27.2951767Z   test_variant_consistency_jit_round_decimals_neg_3_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T04:52:30.4503591Z   test_variant_consistency_jit_rsqrt_cpu_complex64 (__main__.TestJitCPU) ... ok (3.155s)
2022-05-18T04:52:32.0460186Z   test_variant_consistency_jit_rsqrt_cpu_float32 (__main__.TestJitCPU) ... ok (1.596s)
2022-05-18T04:52:38.8773538Z   test_variant_consistency_jit_rsub_cpu_complex64 (__main__.TestJitCPU) ... ok (6.831s)
2022-05-18T04:52:42.4904163Z   test_variant_consistency_jit_rsub_cpu_float32 (__main__.TestJitCPU) ... ok (3.613s)
2022-05-18T04:52:49.9486314Z   test_variant_consistency_jit_scatter_add_cpu_complex64 (__main__.TestJitCPU) ... ok (7.458s)
2022-05-18T04:52:53.5686913Z   test_variant_consistency_jit_scatter_add_cpu_float32 (__main__.TestJitCPU) ... ok (3.620s)
2022-05-18T04:53:01.9211193Z   test_variant_consistency_jit_scatter_cpu_complex64 (__main__.TestJitCPU) ... ok (8.352s)
2022-05-18T04:53:06.0486143Z   test_variant_consistency_jit_scatter_cpu_float32 (__main__.TestJitCPU) ... ok (4.127s)
2022-05-18T04:53:06.0596765Z   test_variant_consistency_jit_scatter_reduce_amax_cpu_float32 (__main__.TestJitCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_jit.py:160: UserWarning: scatter_reduce() is in beta and the API may change at any time. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1550.)
2022-05-18T04:53:06.0597389Z   results = func(*inputs, **kwargs)
2022-05-18T04:53:14.1705617Z ok (8.122s)
2022-05-18T04:53:22.1910592Z   test_variant_consistency_jit_scatter_reduce_amin_cpu_float32 (__main__.TestJitCPU) ... ok (8.020s)
2022-05-18T04:53:30.3813564Z   test_variant_consistency_jit_scatter_reduce_mean_cpu_float32 (__main__.TestJitCPU) ... ok (8.190s)
2022-05-18T04:53:39.4838019Z   test_variant_consistency_jit_scatter_reduce_prod_cpu_float32 (__main__.TestJitCPU) ... ok (9.102s)
2022-05-18T04:53:47.3733329Z   test_variant_consistency_jit_scatter_reduce_sum_cpu_float32 (__main__.TestJitCPU) ... ok (7.889s)
2022-05-18T04:53:47.3786448Z   test_variant_consistency_jit_searchsorted_cpu_float32 (__main__.TestJitCPU) ... skip: Expected failure! (0.005s)
2022-05-18T04:53:52.3048257Z   test_variant_consistency_jit_select_cpu_complex64 (__main__.TestJitCPU) ... ok (4.926s)
2022-05-18T04:53:54.9150656Z   test_variant_consistency_jit_select_cpu_float32 (__main__.TestJitCPU) ... ok (2.610s)
2022-05-18T04:53:57.5393880Z   test_variant_consistency_jit_select_scatter_cpu_float32 (__main__.TestJitCPU) ... ok (2.624s)
2022-05-18T04:53:58.5505456Z   test_variant_consistency_jit_sgn_cpu_complex64 (__main__.TestJitCPU) ... ok (1.011s)
2022-05-18T04:53:59.0192255Z   test_variant_consistency_jit_sgn_cpu_float32 (__main__.TestJitCPU) ... ok (0.469s)
2022-05-18T04:53:59.1151517Z   test_variant_consistency_jit_short_cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.096s)
2022-05-18T04:53:59.2134721Z   test_variant_consistency_jit_short_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.098s)
2022-05-18T04:54:02.3262084Z   test_variant_consistency_jit_sigmoid_cpu_complex64 (__main__.TestJitCPU) ... ok (3.113s)
2022-05-18T04:54:03.8894785Z   test_variant_consistency_jit_sigmoid_cpu_float32 (__main__.TestJitCPU) ... ok (1.563s)
2022-05-18T04:54:04.3517970Z   test_variant_consistency_jit_sign_cpu_float32 (__main__.TestJitCPU) ... ok (0.462s)
2022-05-18T04:54:04.5105398Z   test_variant_consistency_jit_signbit_cpu_float32 (__main__.TestJitCPU) ... ok (0.159s)
2022-05-18T04:54:05.5998195Z   test_variant_consistency_jit_sin_cpu_complex64 (__main__.TestJitCPU) ... ok (1.089s)
2022-05-18T04:54:06.1535090Z   test_variant_consistency_jit_sin_cpu_float32 (__main__.TestJitCPU) ... ok (0.554s)
2022-05-18T04:54:08.9614443Z   test_variant_consistency_jit_sinc_cpu_complex64 (__main__.TestJitCPU) ... ok (2.808s)
2022-05-18T04:54:10.3352455Z   test_variant_consistency_jit_sinc_cpu_float32 (__main__.TestJitCPU) ... ok (1.374s)
2022-05-18T04:54:11.4439394Z   test_variant_consistency_jit_sinh_cpu_complex64 (__main__.TestJitCPU) ... ok (1.109s)
2022-05-18T04:54:12.0105231Z   test_variant_consistency_jit_sinh_cpu_float32 (__main__.TestJitCPU) ... ok (0.567s)
2022-05-18T04:54:18.3475540Z   test_variant_consistency_jit_slice_scatter_cpu_float32 (__main__.TestJitCPU) ... ok (6.337s)
2022-05-18T04:54:21.8399413Z   test_variant_consistency_jit_softmax_cpu_float32 (__main__.TestJitCPU) ... ok (3.492s)
2022-05-18T04:54:28.8121398Z   test_variant_consistency_jit_softmax_with_dtype_cpu_complex64 (__main__.TestJitCPU) ... ok (6.972s)
2022-05-18T04:54:32.4024499Z   test_variant_consistency_jit_softmax_with_dtype_cpu_float32 (__main__.TestJitCPU) ... ok (3.590s)
2022-05-18T04:55:06.3040037Z   test_variant_consistency_jit_sort_cpu_float32 (__main__.TestJitCPU) ... ok (33.901s)
2022-05-18T04:55:06.3078884Z   test_variant_consistency_jit_sparse_sampled_addmm_cpu_complex64 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T04:55:06.3119279Z   test_variant_consistency_jit_sparse_sampled_addmm_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T04:55:06.8091001Z   test_variant_consistency_jit_special_entr_cpu_float32 (__main__.TestJitCPU) ... ok (0.497s)
2022-05-18T04:55:07.5686550Z   test_variant_consistency_jit_special_erfcx_cpu_float32 (__main__.TestJitCPU) ... ok (0.759s)
2022-05-18T04:55:08.0784497Z   test_variant_consistency_jit_special_i0e_cpu_float32 (__main__.TestJitCPU) ... ok (0.510s)
2022-05-18T04:55:08.8453378Z   test_variant_consistency_jit_special_i1_cpu_float32 (__main__.TestJitCPU) ... ok (0.767s)
2022-05-18T04:55:09.5897644Z   test_variant_consistency_jit_special_i1e_cpu_float32 (__main__.TestJitCPU) ... ok (0.744s)
2022-05-18T04:55:10.2863797Z   test_variant_consistency_jit_special_log_ndtr_cpu_float32 (__main__.TestJitCPU) ... ok (0.697s)
2022-05-18T04:55:10.9971047Z   test_variant_consistency_jit_special_ndtr_cpu_float32 (__main__.TestJitCPU) ... ok (0.711s)
2022-05-18T04:55:11.6946546Z   test_variant_consistency_jit_special_ndtri_cpu_float32 (__main__.TestJitCPU) ... ok (0.697s)
2022-05-18T04:55:11.7021177Z   test_variant_consistency_jit_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.008s)
2022-05-18T04:55:14.0047287Z   test_variant_consistency_jit_special_xlog1py_cpu_float32 (__main__.TestJitCPU) ... ok (2.302s)
2022-05-18T04:55:14.6983890Z   test_variant_consistency_jit_special_zeta_cpu_float32 (__main__.TestJitCPU) ... ok (0.694s)
2022-05-18T04:55:17.0664788Z   test_variant_consistency_jit_split_cpu_complex64 (__main__.TestJitCPU) ... ok (2.368s)
2022-05-18T04:55:18.2657601Z   test_variant_consistency_jit_split_cpu_float32 (__main__.TestJitCPU) ... ok (1.199s)
2022-05-18T04:55:22.3669225Z   test_variant_consistency_jit_split_list_args_cpu_complex64 (__main__.TestJitCPU) ... ok (4.101s)
2022-05-18T04:55:24.3735606Z   test_variant_consistency_jit_split_list_args_cpu_float32 (__main__.TestJitCPU) ... ok (2.007s)
2022-05-18T04:55:29.9643168Z   test_variant_consistency_jit_split_with_sizes_cpu_complex64 (__main__.TestJitCPU) ... ok (5.591s)
2022-05-18T04:55:32.7022057Z   test_variant_consistency_jit_split_with_sizes_cpu_float32 (__main__.TestJitCPU) ... ok (2.738s)
2022-05-18T04:55:33.7821668Z   test_variant_consistency_jit_sqrt_cpu_complex64 (__main__.TestJitCPU) ... ok (1.080s)
2022-05-18T04:55:34.3322621Z   test_variant_consistency_jit_sqrt_cpu_float32 (__main__.TestJitCPU) ... ok (0.550s)
2022-05-18T04:55:37.0861579Z   test_variant_consistency_jit_square_cpu_complex64 (__main__.TestJitCPU) ... ok (2.754s)
2022-05-18T04:55:38.4264963Z   test_variant_consistency_jit_square_cpu_float32 (__main__.TestJitCPU) ... ok (1.340s)
2022-05-18T04:55:45.3684091Z   test_variant_consistency_jit_squeeze_cpu_complex64 (__main__.TestJitCPU) ... ok (6.942s)
2022-05-18T04:55:48.9859800Z   test_variant_consistency_jit_squeeze_cpu_float32 (__main__.TestJitCPU) ... ok (3.617s)
2022-05-18T04:55:54.2453845Z   test_variant_consistency_jit_stack_cpu_complex64 (__main__.TestJitCPU) ... ok (5.259s)
2022-05-18T04:55:56.8784522Z   test_variant_consistency_jit_stack_cpu_float32 (__main__.TestJitCPU) ... ok (2.633s)
2022-05-18T04:56:05.9994804Z   test_variant_consistency_jit_std_cpu_complex64 (__main__.TestJitCPU) ... ok (9.121s)
2022-05-18T04:56:10.4847680Z   test_variant_consistency_jit_std_cpu_float32 (__main__.TestJitCPU) ... ok (4.485s)
2022-05-18T04:56:10.4889144Z   test_variant_consistency_jit_std_mean_cpu_complex64 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T04:56:10.4935119Z   test_variant_consistency_jit_std_mean_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.005s)
2022-05-18T04:56:10.4980019Z   test_variant_consistency_jit_stft_cpu_complex64 (__main__.TestJitCPU) ... skip: Skipped! stft does not match the native function (0.004s)
2022-05-18T04:56:10.5023358Z   test_variant_consistency_jit_stft_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! stft does not match the native function (0.004s)
2022-05-18T04:56:24.4863839Z   test_variant_consistency_jit_sub_cpu_complex64 (__main__.TestJitCPU) ... ok (13.984s)
2022-05-18T04:56:31.8579769Z   test_variant_consistency_jit_sub_cpu_float32 (__main__.TestJitCPU) ... ok (7.371s)
2022-05-18T04:56:52.5518900Z   test_variant_consistency_jit_sum_cpu_complex64 (__main__.TestJitCPU) ... ok (20.694s)
2022-05-18T04:57:04.0725041Z   test_variant_consistency_jit_sum_cpu_float32 (__main__.TestJitCPU) ... ok (11.521s)
2022-05-18T04:57:07.1787981Z   test_variant_consistency_jit_sum_to_size_cpu_complex64 (__main__.TestJitCPU) ... ok (3.106s)
2022-05-18T04:57:08.4751228Z   test_variant_consistency_jit_sum_to_size_cpu_float32 (__main__.TestJitCPU) ... expected failure (1.296s)
2022-05-18T05:02:06.8028834Z   test_variant_consistency_jit_svd_cpu_complex64 (__main__.TestJitCPU) ... ok (298.327s)
2022-05-18T05:04:26.9382583Z   test_variant_consistency_jit_svd_cpu_float32 (__main__.TestJitCPU) ... ok (140.135s)
2022-05-18T05:04:27.0181313Z   test_variant_consistency_jit_svd_lowrank_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.080s)
2022-05-18T05:04:27.0452132Z   test_variant_consistency_jit_symeig_cpu_complex64 (__main__.TestJitCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_jit.py:160: UserWarning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release.
2022-05-18T05:04:27.0453146Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion.
2022-05-18T05:04:27.0453676Z L, _ = torch.symeig(A, upper=upper)
2022-05-18T05:04:27.0453996Z should be replaced with
2022-05-18T05:04:27.0454494Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L')
2022-05-18T05:04:27.0454830Z and
2022-05-18T05:04:27.0455085Z L, V = torch.symeig(A, eigenvectors=True)
2022-05-18T05:04:27.0455392Z should be replaced with
2022-05-18T05:04:27.0456071Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:3041.)
2022-05-18T05:04:27.0456906Z   results = func(*inputs, **kwargs)
2022-05-18T05:04:37.5360475Z ok (10.518s)
2022-05-18T05:04:42.4878495Z   test_variant_consistency_jit_symeig_cpu_float32 (__main__.TestJitCPU) ... ok (4.952s)
2022-05-18T05:04:45.3218538Z   test_variant_consistency_jit_t_cpu_complex64 (__main__.TestJitCPU) ... ok (2.834s)
2022-05-18T05:04:46.7542149Z   test_variant_consistency_jit_t_cpu_float32 (__main__.TestJitCPU) ... ok (1.432s)
2022-05-18T05:04:51.7929387Z   test_variant_consistency_jit_take_along_dim_cpu_complex64 (__main__.TestJitCPU) ... ok (5.039s)
2022-05-18T05:04:54.3212655Z   test_variant_consistency_jit_take_along_dim_cpu_float32 (__main__.TestJitCPU) ... ok (2.528s)
2022-05-18T05:05:03.8516337Z   test_variant_consistency_jit_take_cpu_complex64 (__main__.TestJitCPU) ... ok (9.530s)
2022-05-18T05:05:08.8709044Z   test_variant_consistency_jit_take_cpu_float32 (__main__.TestJitCPU) ... ok (5.019s)
2022-05-18T05:05:09.9632229Z   test_variant_consistency_jit_tan_cpu_complex64 (__main__.TestJitCPU) ... ok (1.092s)
2022-05-18T05:05:10.5374662Z   test_variant_consistency_jit_tan_cpu_float32 (__main__.TestJitCPU) ... ok (0.574s)
2022-05-18T05:05:11.6404882Z   test_variant_consistency_jit_tanh_cpu_complex64 (__main__.TestJitCPU) ... ok (1.103s)
2022-05-18T05:05:12.2150705Z   test_variant_consistency_jit_tanh_cpu_float32 (__main__.TestJitCPU) ... ok (0.575s)
2022-05-18T05:05:25.1577450Z   test_variant_consistency_jit_tensor_split_cpu_complex64 (__main__.TestJitCPU) ... ok (12.943s)
2022-05-18T05:05:31.6237317Z   test_variant_consistency_jit_tensor_split_cpu_float32 (__main__.TestJitCPU) ... ok (6.466s)
2022-05-18T05:05:33.4891809Z   test_variant_consistency_jit_tensordot_cpu_complex64 (__main__.TestJitCPU) ... ok (1.865s)
2022-05-18T05:05:34.3464622Z   test_variant_consistency_jit_tensordot_cpu_float32 (__main__.TestJitCPU) ... ok (0.857s)
2022-05-18T05:06:03.7437978Z   test_variant_consistency_jit_tile_cpu_complex64 (__main__.TestJitCPU) ... ok (29.397s)
2022-05-18T05:06:18.5308920Z   test_variant_consistency_jit_tile_cpu_float32 (__main__.TestJitCPU) ... ok (14.787s)
2022-05-18T05:06:18.8920165Z   test_variant_consistency_jit_to_sparse_cpu_complex64 (__main__.TestJitCPU) ... ok (0.361s)
2022-05-18T05:06:19.4211731Z   test_variant_consistency_jit_to_sparse_cpu_float32 (__main__.TestJitCPU) ... ok (0.529s)
2022-05-18T05:06:27.8716493Z   test_variant_consistency_jit_topk_cpu_float32 (__main__.TestJitCPU) ... ok (8.450s)
2022-05-18T05:06:28.8157919Z   test_variant_consistency_jit_trace_cpu_complex64 (__main__.TestJitCPU) ... ok (0.944s)
2022-05-18T05:06:29.2734257Z   test_variant_consistency_jit_trace_cpu_float32 (__main__.TestJitCPU) ... ok (0.458s)
2022-05-18T05:06:37.4032918Z   test_variant_consistency_jit_transpose_cpu_complex64 (__main__.TestJitCPU) ... ok (8.130s)
2022-05-18T05:06:41.7976994Z   test_variant_consistency_jit_transpose_cpu_float32 (__main__.TestJitCPU) ... ok (4.394s)
2022-05-18T05:06:46.7942875Z   test_variant_consistency_jit_trapezoid_cpu_complex64 (__main__.TestJitCPU) ... ok (4.996s)
2022-05-18T05:06:49.2809601Z   test_variant_consistency_jit_trapezoid_cpu_float32 (__main__.TestJitCPU) ... ok (2.487s)
2022-05-18T05:06:54.1972470Z   test_variant_consistency_jit_trapz_cpu_complex64 (__main__.TestJitCPU) ... ok (4.916s)
2022-05-18T05:06:56.6476826Z   test_variant_consistency_jit_trapz_cpu_float32 (__main__.TestJitCPU) ... ok (2.450s)
2022-05-18T05:06:56.6912757Z   test_variant_consistency_jit_triangular_solve_cpu_complex64 (__main__.TestJitCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_jit.py:160: UserWarning: torch.triangular_solve is deprecated in favor of torch.linalg.solve_triangularand will be removed in a future PyTorch release.
2022-05-18T05:06:56.6913853Z torch.linalg.solve_triangular has its arguments reversed and does not return a copy of one of the inputs.
2022-05-18T05:06:56.6914361Z X = torch.triangular_solve(B, A).solution
2022-05-18T05:06:56.6914988Z should be replaced with
2022-05-18T05:06:56.6915563Z X = torch.linalg.solve_triangular(A, B). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2189.)
2022-05-18T05:06:56.6916191Z   results = func(*inputs, **kwargs)
2022-05-18T05:07:12.1158941Z ok (15.468s)
2022-05-18T05:07:19.6819082Z   test_variant_consistency_jit_triangular_solve_cpu_float32 (__main__.TestJitCPU) ... ok (7.566s)
2022-05-18T05:07:24.6684257Z   test_variant_consistency_jit_tril_cpu_complex64 (__main__.TestJitCPU) ... ok (4.986s)
2022-05-18T05:07:27.1105145Z   test_variant_consistency_jit_tril_cpu_float32 (__main__.TestJitCPU) ... ok (2.442s)
2022-05-18T05:07:32.0745701Z   test_variant_consistency_jit_triu_cpu_complex64 (__main__.TestJitCPU) ... ok (4.964s)
2022-05-18T05:07:34.4814259Z   test_variant_consistency_jit_triu_cpu_float32 (__main__.TestJitCPU) ... ok (2.407s)
2022-05-18T05:07:45.9637594Z   test_variant_consistency_jit_true_divide_cpu_complex64 (__main__.TestJitCPU) ... ok (11.482s)
2022-05-18T05:07:51.9695412Z   test_variant_consistency_jit_true_divide_cpu_float32 (__main__.TestJitCPU) ... ok (6.006s)
2022-05-18T05:07:52.5139588Z   test_variant_consistency_jit_trunc_cpu_float32 (__main__.TestJitCPU) ... ok (0.544s)
2022-05-18T05:08:04.3869953Z   test_variant_consistency_jit_unfold_cpu_complex64 (__main__.TestJitCPU) ... ok (11.873s)
2022-05-18T05:08:10.1797830Z   test_variant_consistency_jit_unfold_cpu_float32 (__main__.TestJitCPU) ... ok (5.793s)
2022-05-18T05:08:10.4160300Z   test_variant_consistency_jit_unique_consecutive_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.236s)
2022-05-18T05:08:10.6370038Z   test_variant_consistency_jit_unique_cpu_float32 (__main__.TestJitCPU) ... expected failure (0.220s)
2022-05-18T05:08:19.7639024Z   test_variant_consistency_jit_unsqueeze_cpu_complex64 (__main__.TestJitCPU) ... ok (9.126s)
2022-05-18T05:08:24.5427418Z   test_variant_consistency_jit_unsqueeze_cpu_float32 (__main__.TestJitCPU) ... ok (4.779s)
2022-05-18T05:08:33.6257962Z   test_variant_consistency_jit_var_cpu_complex64 (__main__.TestJitCPU) ... ok (9.083s)
2022-05-18T05:08:38.0853617Z   test_variant_consistency_jit_var_cpu_float32 (__main__.TestJitCPU) ... ok (4.459s)
2022-05-18T05:08:38.0899368Z   test_variant_consistency_jit_var_mean_cpu_complex64 (__main__.TestJitCPU) ... skip: Skipped! (0.005s)
2022-05-18T05:08:38.0946959Z   test_variant_consistency_jit_var_mean_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.005s)
2022-05-18T05:08:40.0488328Z   test_variant_consistency_jit_vdot_cpu_complex64 (__main__.TestJitCPU) ... ok (1.954s)
2022-05-18T05:08:40.5392060Z   test_variant_consistency_jit_vdot_cpu_float32 (__main__.TestJitCPU) ... ok (0.490s)
2022-05-18T05:08:40.7689999Z   test_variant_consistency_jit_view_as_complex_cpu_float32 (__main__.TestJitCPU) ... ok (0.230s)
2022-05-18T05:08:42.2283658Z   test_variant_consistency_jit_view_as_cpu_complex64 (__main__.TestJitCPU) ... ok (1.459s)
2022-05-18T05:08:42.9777514Z   test_variant_consistency_jit_view_as_cpu_float32 (__main__.TestJitCPU) ... ok (0.749s)
2022-05-18T05:08:43.4620284Z   test_variant_consistency_jit_view_as_real_cpu_complex64 (__main__.TestJitCPU) ... ok (0.484s)
2022-05-18T05:08:47.2620755Z   test_variant_consistency_jit_view_cpu_complex64 (__main__.TestJitCPU) ... ok (3.800s)
2022-05-18T05:08:49.3239826Z   test_variant_consistency_jit_view_cpu_float32 (__main__.TestJitCPU) ... ok (2.062s)
2022-05-18T05:08:51.8955549Z   test_variant_consistency_jit_vsplit_cpu_complex64 (__main__.TestJitCPU) ... ok (2.571s)
2022-05-18T05:08:53.1706142Z   test_variant_consistency_jit_vsplit_cpu_float32 (__main__.TestJitCPU) ... ok (1.275s)
2022-05-18T05:08:53.7289168Z   test_variant_consistency_jit_vstack_cpu_complex64 (__main__.TestJitCPU) ... ok (0.558s)
2022-05-18T05:08:54.0236451Z   test_variant_consistency_jit_vstack_cpu_float32 (__main__.TestJitCPU) ... ok (0.295s)
2022-05-18T05:08:54.0274106Z   test_variant_consistency_jit_where_cpu_complex64 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T05:08:54.0316483Z   test_variant_consistency_jit_where_cpu_float32 (__main__.TestJitCPU) ... skip: Skipped! (0.004s)
2022-05-18T05:08:58.6600904Z   test_variant_consistency_jit_xlogy_cpu_float32 (__main__.TestJitCPU) ... ok (4.628s)
2022-05-18T05:08:58.6687577Z   test_variant_consistency_jit_zero__cpu_complex64 (__main__.TestJitCPU) ... expected failure (0.009s)
2022-05-18T05:08:58.6743330Z   test_variant_consistency_jit_zero__cpu_float32 (__main__.TestJitCPU) ... expected failure (0.005s)
2022-05-18T05:08:59.8635595Z   test_variant_consistency_jit_zeros_like_cpu_complex64 (__main__.TestJitCPU) ... ok (1.189s)
2022-05-18T05:09:00.4675989Z   test_variant_consistency_jit_zeros_like_cpu_float32 (__main__.TestJitCPU) ... ok (0.604s)
2022-05-18T05:09:00.4676210Z 
2022-05-18T05:09:00.4676514Z ----------------------------------------------------------------------
2022-05-18T05:09:00.4678262Z Ran 932 tests in 4839.971s
2022-05-18T05:09:00.4678834Z 
2022-05-18T05:09:00.4679193Z OK (skipped=78, expected failures=144)
2022-05-18T05:09:00.4679374Z 
2022-05-18T05:09:00.4680382Z Generating XML reports...
2022-05-18T05:09:00.5769914Z Generated XML report: test-reports/python-unittest/test_ops_jit/TEST-TestJitCPU-20220518034820.xml
2022-05-18T05:09:13.2629421Z Running test_cuda ... [2022-05-18 05:09:13.262513]
2022-05-18T05:09:13.2630187Z Executing ['/opt/conda/bin/python', 'test_cuda.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-05-18 05:09:13.262601]
2022-05-18T05:09:16.0887874Z CUDA not available, skipping tests
2022-05-18T05:09:16.0920215Z Test results will be stored in test-reports/python-unittest/test_cuda
2022-05-18T05:09:16.0933875Z 
2022-05-18T05:09:16.0934026Z Running tests...
2022-05-18T05:09:16.0934576Z ----------------------------------------------------------------------
2022-05-18T05:09:16.0934900Z 
2022-05-18T05:09:16.0935243Z ----------------------------------------------------------------------
2022-05-18T05:09:16.0935471Z Ran 0 tests in 0.000s
2022-05-18T05:09:16.0935598Z 
2022-05-18T05:09:16.0935664Z OK
2022-05-18T05:09:16.0935755Z 
2022-05-18T05:09:16.0935844Z Generating XML reports...
2022-05-18T05:09:16.5352379Z Running test_jiterator ... [2022-05-18 05:09:16.534859]
2022-05-18T05:09:16.5352886Z Executing ['/opt/conda/bin/python', 'test_jiterator.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-05-18 05:09:16.534945]
2022-05-18T05:09:18.7777303Z CUDA not available, skipping tests
2022-05-18T05:09:18.7808654Z Test results will be stored in test-reports/python-unittest/test_jiterator
2022-05-18T05:09:18.7821823Z 
2022-05-18T05:09:18.7822236Z Running tests...
2022-05-18T05:09:18.7822883Z ----------------------------------------------------------------------
2022-05-18T05:09:18.7823167Z 
2022-05-18T05:09:18.7823502Z ----------------------------------------------------------------------
2022-05-18T05:09:18.7823904Z Ran 0 tests in 0.000s
2022-05-18T05:09:18.7824075Z 
2022-05-18T05:09:18.7824180Z OK
2022-05-18T05:09:18.7824334Z 
2022-05-18T05:09:18.7824499Z Generating XML reports...
2022-05-18T05:09:19.6150543Z 
2022-05-18T05:09:19.6150972Z real	81m13.486s
2022-05-18T05:09:19.6151330Z user	155m32.843s
2022-05-18T05:09:19.6151620Z sys	4m49.274s
2022-05-18T05:09:19.6151816Z + assert_git_not_dirty
2022-05-18T05:09:19.6152218Z + [[ linux-xenial-py3.7-clang7-asan-default != *rocm* ]]
2022-05-18T05:09:19.6152578Z + [[ linux-xenial-py3.7-clang7-asan-default != *xla* ]]
2022-05-18T05:09:19.6154579Z ++ git status --porcelain
2022-05-18T05:09:25.6985240Z + git_status=
2022-05-18T05:09:25.6985704Z + [[ -n '' ]]
2022-05-18T05:09:25.6985902Z + test_aten
2022-05-18T05:09:25.6986274Z + [[ linux-xenial-py3.7-clang7-asan-default != *asan* ]]
2022-05-18T05:09:25.6986496Z + cleanup
2022-05-18T05:09:25.6986661Z + retcode=0
2022-05-18T05:09:25.6986820Z + set +x
2022-05-18T05:09:25.6986971Z EXITED_USER_LAND
2022-05-18T05:09:25.7086686Z ##[group]Run pytorch/pytorch/.github/actions/get-workflow-job-id@master
2022-05-18T05:09:25.7086927Z with:
2022-05-18T05:09:25.7087338Z   github-token: ***
2022-05-18T05:09:25.7087602Z env:
2022-05-18T05:09:25.7087743Z   IN_CI: 1
2022-05-18T05:09:25.7099870Z   IS_GHA: 1
2022-05-18T05:09:25.7100063Z   GIT_DEFAULT_BRANCH: master
2022-05-18T05:09:25.7100256Z ##[endgroup]
2022-05-18T05:09:25.7128493Z ##[group]Run nick-fields/retry@71062288b76e2b6214ebde0e673ce0de1755740a
2022-05-18T05:09:25.7128729Z with:
2022-05-18T05:09:25.7128892Z   shell: bash
2022-05-18T05:09:25.7129053Z   timeout_minutes: 10
2022-05-18T05:09:25.7129232Z   max_attempts: 5
2022-05-18T05:09:25.7129413Z   retry_wait_seconds: 30
2022-05-18T05:09:25.7129780Z   command: set -x
python3 -m pip install requests==2.26.0
GHA_WORKFLOW_JOB_ID=$(python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}")
echo "::set-output name=job-id::${GHA_WORKFLOW_JOB_ID}"

2022-05-18T05:09:25.7130202Z   polling_interval_seconds: 1
2022-05-18T05:09:25.7130401Z   warning_on_retry: true
2022-05-18T05:09:25.7130577Z   continue_on_error: false
2022-05-18T05:09:25.7130749Z env:
2022-05-18T05:09:25.7130909Z   IN_CI: 1
2022-05-18T05:09:25.7131053Z   IS_GHA: 1
2022-05-18T05:09:25.7131230Z   GIT_DEFAULT_BRANCH: master
2022-05-18T05:09:25.7131895Z   GITHUB_TOKEN: ***
2022-05-18T05:09:25.7132062Z ##[endgroup]
2022-05-18T05:09:25.7503823Z 
2022-05-18T05:09:25.7582055Z + python3 -m pip install requests==2.26.0
2022-05-18T05:09:26.5240302Z Defaulting to user installation because normal site-packages is not writeable
2022-05-18T05:09:26.5461118Z Requirement already satisfied: requests==2.26.0 in /home/ec2-user/.local/lib/python3.7/site-packages (2.26.0)
2022-05-18T05:09:26.5592157Z Requirement already satisfied: idna<4,>=2.5; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (3.3)
2022-05-18T05:09:26.5611801Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (1.26.9)
2022-05-18T05:09:26.5769449Z Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (2021.10.8)
2022-05-18T05:09:26.5779857Z Requirement already satisfied: charset-normalizer~=2.0.0; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (2.0.12)
2022-05-18T05:09:26.6835828Z ++ python3 .github/scripts/get_workflow_job_id.py 2342799944 i-016381421bd74e438
2022-05-18T05:09:28.4293013Z + GHA_WORKFLOW_JOB_ID=6482536799
2022-05-18T05:09:28.4293970Z + echo '::set-output name=job-id::6482536799'
2022-05-18T05:09:28.7600845Z Command completed after 1 attempt(s).
2022-05-18T05:09:28.7601028Z 
2022-05-18T05:09:28.7726091Z Prepare all required actions
2022-05-18T05:09:28.7726385Z Getting action download info
2022-05-18T05:09:28.9200511Z Download action repository 'actions/upload-artifact@v2' (SHA:82c141cc518b40d92cc801eee768e7aafc9c2fa2)
2022-05-18T05:09:29.0488333Z ##[group]Run ./.github/actions/upload-test-artifacts
2022-05-18T05:09:29.0488540Z with:
2022-05-18T05:09:29.0488765Z   file-suffix: test-default-1-5-linux.2xlarge_6482536799
2022-05-18T05:09:29.0488993Z env:
2022-05-18T05:09:29.0489143Z   IN_CI: 1
2022-05-18T05:09:29.0489289Z   IS_GHA: 1
2022-05-18T05:09:29.0489469Z   GIT_DEFAULT_BRANCH: master
2022-05-18T05:09:29.0489654Z ##[endgroup]
2022-05-18T05:09:29.0510185Z ##[group]Run # Remove any previous test jsons if they exist
2022-05-18T05:09:29.0510479Z # Remove any previous test jsons if they exist
2022-05-18T05:09:29.0510713Z rm -f test-jsons-*.zip
2022-05-18T05:09:29.0510946Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test -i '*.json'
2022-05-18T05:09:29.0522551Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T05:09:29.0522774Z env:
2022-05-18T05:09:29.0522921Z   IN_CI: 1
2022-05-18T05:09:29.0523087Z   IS_GHA: 1
2022-05-18T05:09:29.0523269Z   GIT_DEFAULT_BRANCH: master
2022-05-18T05:09:29.0523500Z   FILE_SUFFIX: test-default-1-5-linux.2xlarge_6482536799
2022-05-18T05:09:29.0523726Z ##[endgroup]
2022-05-18T05:09:29.0669814Z   adding: test/allowlist_for_publicAPI.json (deflated 82%)
2022-05-18T05:09:29.0710835Z   adding: test/benchmark_utils/callgrind_artifacts.json (deflated 92%)
2022-05-18T05:09:29.0711936Z   adding: test/.pytorch-slow-tests.json (deflated 71%)
2022-05-18T05:09:29.0715236Z   adding: test/.pytorch-disabled-tests.json (deflated 83%)
2022-05-18T05:09:29.0733059Z ##[group]Run # Remove any previous test reports if they exist
2022-05-18T05:09:29.0733350Z # Remove any previous test reports if they exist
2022-05-18T05:09:29.0733588Z rm -f test-reports-*.zip
2022-05-18T05:09:29.0733838Z zip -r "test-reports-${FILE_SUFFIX}.zip" test -i '*.xml'
2022-05-18T05:09:29.0744669Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T05:09:29.0744890Z env:
2022-05-18T05:09:29.0745036Z   IN_CI: 1
2022-05-18T05:09:29.0745196Z   IS_GHA: 1
2022-05-18T05:09:29.0745373Z   GIT_DEFAULT_BRANCH: master
2022-05-18T05:09:29.0745601Z   FILE_SUFFIX: test-default-1-5-linux.2xlarge_6482536799
2022-05-18T05:09:29.0745829Z ##[endgroup]
2022-05-18T05:09:29.0838208Z   adding: test/test-reports/python-unittest/test_ops_jit/TEST-TestJitCPU-20220518034820.xml (deflated 93%)
2022-05-18T05:09:29.0868258Z ##[group]Run seemethere/upload-artifact-s3@v4
2022-05-18T05:09:29.0868473Z with:
2022-05-18T05:09:29.0868642Z   retention-days: 14
2022-05-18T05:09:29.0868821Z   if-no-files-found: warn
2022-05-18T05:09:29.0869017Z   path: test-jsons-*.zip
2022-05-18T05:09:29.0869196Z   name: artifact
2022-05-18T05:09:29.0869362Z   s3-bucket: gha-artifacts
2022-05-18T05:09:29.0869552Z   region: us-east-1
2022-05-18T05:09:29.0869717Z env:
2022-05-18T05:09:29.0869866Z   IN_CI: 1
2022-05-18T05:09:29.0870023Z   IS_GHA: 1
2022-05-18T05:09:29.0870201Z   GIT_DEFAULT_BRANCH: master
2022-05-18T05:09:29.0870370Z ##[endgroup]
2022-05-18T05:09:29.4658618Z With the provided path, there will be 1 file uploaded
2022-05-18T05:09:29.4659035Z Uploading to s3 prefix: pytorch/pytorch/2342799944/1/artifact
2022-05-18T05:09:29.4730264Z Starting upload of test-jsons-test-default-1-5-linux.2xlarge_6482536799.zip
2022-05-18T05:09:29.6046927Z Finished upload of test-jsons-test-default-1-5-linux.2xlarge_6482536799.zip
2022-05-18T05:09:29.6164806Z ##[group]Run seemethere/upload-artifact-s3@v4
2022-05-18T05:09:29.6165025Z with:
2022-05-18T05:09:29.6165203Z   retention-days: 14
2022-05-18T05:09:29.6165386Z   if-no-files-found: error
2022-05-18T05:09:29.6165595Z   path: test-reports-*.zip
2022-05-18T05:09:29.6165781Z   name: artifact
2022-05-18T05:09:29.6165957Z   s3-bucket: gha-artifacts
2022-05-18T05:09:29.6166145Z   region: us-east-1
2022-05-18T05:09:29.6166315Z env:
2022-05-18T05:09:29.6166532Z   IN_CI: 1
2022-05-18T05:09:29.6166694Z   IS_GHA: 1
2022-05-18T05:09:29.6166877Z   GIT_DEFAULT_BRANCH: master
2022-05-18T05:09:29.6167050Z ##[endgroup]
2022-05-18T05:09:29.9428073Z With the provided path, there will be 1 file uploaded
2022-05-18T05:09:29.9428565Z Uploading to s3 prefix: pytorch/pytorch/2342799944/1/artifact
2022-05-18T05:09:29.9436473Z Starting upload of test-reports-test-default-1-5-linux.2xlarge_6482536799.zip
2022-05-18T05:09:30.0942025Z Finished upload of test-reports-test-default-1-5-linux.2xlarge_6482536799.zip
2022-05-18T05:09:30.1068485Z ##[group]Run set -x
2022-05-18T05:09:30.1068689Z set -x
2022-05-18T05:09:30.1068910Z python3 -m pip install -r requirements.txt
2022-05-18T05:09:30.1069161Z python3 -m pip install boto3==1.19.12
2022-05-18T05:09:30.1069453Z python3 -m tools.stats.print_test_stats --upload-to-s3 --compare-with-s3 test
2022-05-18T05:09:30.1080697Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T05:09:30.1080919Z env:
2022-05-18T05:09:30.1081083Z   IN_CI: 1
2022-05-18T05:09:30.1081234Z   IS_GHA: 1
2022-05-18T05:09:30.1081419Z   GIT_DEFAULT_BRANCH: master
2022-05-18T05:09:30.1081627Z   AWS_DEFAULT_REGION: us-east-1
2022-05-18T05:09:30.1081805Z   BRANCH: master
2022-05-18T05:09:30.1082039Z   JOB_BASE_NAME: linux-xenial-py3.7-clang7-asan-test
2022-05-18T05:09:30.1082275Z   TEST_CONFIG: default
2022-05-18T05:09:30.1082542Z   SHARD_NUMBER: 1
2022-05-18T05:09:30.1082773Z   BUILD_ENVIRONMENT: linux-xenial-py3.7-clang7-asan
2022-05-18T05:09:30.1083034Z   PR_NUMBER: 
2022-05-18T05:09:30.1083231Z   SHA1: 3b2375291aab7b48442f2e6fb1ef66cebc761e24
2022-05-18T05:09:30.1083434Z   TAG: 
2022-05-18T05:09:30.1083606Z   WORKFLOW_ID: 2342799944
2022-05-18T05:09:30.1083915Z   GITHUB_TOKEN: ***
2022-05-18T05:09:30.1084106Z   GHA_WORKFLOW_JOB_ID: 6482536799
2022-05-18T05:09:30.1084296Z ##[endgroup]
2022-05-18T05:09:30.1108373Z + python3 -m pip install -r requirements.txt
2022-05-18T05:09:30.3185524Z Defaulting to user installation because normal site-packages is not writeable
2022-05-18T05:09:30.3436708Z Ignoring dataclasses: markers 'python_version < "3.7"' don't match your environment
2022-05-18T05:09:30.3440169Z Requirement already satisfied: astunparse in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 2)) (1.6.3)
2022-05-18T05:09:30.3467748Z Requirement already satisfied: expecttest in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 3)) (0.1.3)
2022-05-18T05:09:30.3476385Z Requirement already satisfied: future in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 4)) (0.18.2)
2022-05-18T05:09:30.3484991Z Requirement already satisfied: numpy in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 5)) (1.21.6)
2022-05-18T05:09:30.3493984Z Requirement already satisfied: psutil in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 6)) (5.9.0)
2022-05-18T05:09:30.3588520Z Requirement already satisfied: pyyaml in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 7)) (6.0)
2022-05-18T05:09:30.3596876Z Requirement already satisfied: requests in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 8)) (2.26.0)
2022-05-18T05:09:30.3710434Z Requirement already satisfied: setuptools in /usr/lib/python3.7/site-packages (from -r requirements.txt (line 9)) (49.1.3)
2022-05-18T05:09:30.3877951Z Requirement already satisfied: six in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 10)) (1.16.0)
2022-05-18T05:09:30.3886699Z Requirement already satisfied: types-dataclasses in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 11)) (0.6.5)
2022-05-18T05:09:30.3892946Z Requirement already satisfied: typing_extensions in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 12)) (4.2.0)
2022-05-18T05:09:30.3903507Z Requirement already satisfied: wheel<1.0,>=0.23.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from astunparse->-r requirements.txt (line 2)) (0.37.1)
2022-05-18T05:09:30.3927523Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 8)) (1.26.9)
2022-05-18T05:09:30.4172387Z Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 8)) (2021.10.8)
2022-05-18T05:09:30.4180733Z Requirement already satisfied: idna<4,>=2.5; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 8)) (3.3)
2022-05-18T05:09:30.4192425Z Requirement already satisfied: charset-normalizer~=2.0.0; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 8)) (2.0.12)
2022-05-18T05:09:30.4699008Z + python3 -m pip install boto3==1.19.12
2022-05-18T05:09:30.6750700Z Defaulting to user installation because normal site-packages is not writeable
2022-05-18T05:09:30.6921695Z Requirement already satisfied: boto3==1.19.12 in /home/ec2-user/.local/lib/python3.7/site-packages (1.19.12)
2022-05-18T05:09:30.6970835Z Requirement already satisfied: s3transfer<0.6.0,>=0.5.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (0.5.2)
2022-05-18T05:09:30.6997043Z Requirement already satisfied: botocore<1.23.0,>=1.22.12 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (1.22.12)
2022-05-18T05:09:30.7038592Z Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (0.10.0)
2022-05-18T05:09:30.7050502Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from botocore<1.23.0,>=1.22.12->boto3==1.19.12) (2.8.2)
2022-05-18T05:09:30.7076538Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /home/ec2-user/.local/lib/python3.7/site-packages (from botocore<1.23.0,>=1.22.12->boto3==1.19.12) (1.26.9)
2022-05-18T05:09:30.7219791Z Requirement already satisfied: six>=1.5 in /home/ec2-user/.local/lib/python3.7/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.23.0,>=1.22.12->boto3==1.19.12) (1.16.0)
2022-05-18T05:09:30.8117142Z + python3 -m tools.stats.print_test_stats --upload-to-s3 --compare-with-s3 test
2022-05-18T05:09:34.2231476Z [scribe] Scribe access token not provided, sending report via boto3...
2022-05-18T05:09:34.2231811Z 
2022-05-18T05:09:34.2232101Z ----- Historic stats comparison result ------
2022-05-18T05:09:34.2232272Z 
2022-05-18T05:09:34.2232456Z     job: linux-xenial-py3.7-clang7-asan-test
2022-05-18T05:09:34.2232719Z     commit: 3b2375291aab7b48442f2e6fb1ef66cebc761e24
2022-05-18T05:09:34.2232862Z 
2022-05-18T05:09:34.2233005Z Commit graph (base is most recent master ancestor with at least one S3 report):
2022-05-18T05:09:34.2233167Z 
2022-05-18T05:09:34.2233234Z     : (master)
2022-05-18T05:09:34.2233398Z     |
2022-05-18T05:09:34.2233592Z     * 3b2375291a (HEAD)              total time  4839.86s
2022-05-18T05:09:34.2234532Z     * 6e3391a7c3 (base)   4 reports, total time  3501.45s ±  707.98s
2022-05-18T05:09:34.2234869Z     * 48581d74ad          5 reports, total time  3709.25s ±  885.07s
2022-05-18T05:09:34.2235185Z     * c35bd8d423          4 reports, total time  3420.37s ±  776.66s
2022-05-18T05:09:34.2235524Z     * f6beda89c6          5 reports, total time  3752.00s ±  861.96s
2022-05-18T05:09:34.2235840Z     * ee080918df          5 reports, total time  3913.73s ± 1137.83s
2022-05-18T05:09:34.2236060Z     * bbaefdf6b5          0 reports
2022-05-18T05:09:34.2236254Z     * 7c52f204e0          0 reports
2022-05-18T05:09:34.2236426Z     * e0451d8022          0 reports
2022-05-18T05:09:34.2236712Z     * 4e2f5507d0          5 reports, total time  3791.98s ±  796.32s
2022-05-18T05:09:34.2237017Z     * b64845eb18          5 reports, total time  3706.61s ±  845.47s
2022-05-18T05:09:34.2237199Z     |
2022-05-18T05:09:34.2237346Z     :
2022-05-18T05:09:34.2237436Z 
2022-05-18T05:09:34.2237553Z Removed  (across  412 suites)     0 tests, totaling     0.00s
2022-05-18T05:09:34.2237800Z Modified (across    0 suites)     0 tests, totaling     0.00s
2022-05-18T05:09:34.2238051Z Added    (across    1 suite)    932 tests, totaling +4839.86s
2022-05-18T05:09:34.2772509Z Prepare all required actions
2022-05-18T05:09:34.2790058Z ##[group]Run ./.github/actions/teardown-linux
2022-05-18T05:09:34.2790268Z with:
2022-05-18T05:09:34.2790406Z env:
2022-05-18T05:09:34.2790560Z   IN_CI: 1
2022-05-18T05:09:34.2790722Z   IS_GHA: 1
2022-05-18T05:09:34.2790887Z   GIT_DEFAULT_BRANCH: master
2022-05-18T05:09:34.2791077Z ##[endgroup]
2022-05-18T05:09:34.2818360Z ##[group]Run .github/scripts/wait_for_ssh_to_drain.sh
2022-05-18T05:09:34.2818621Z .github/scripts/wait_for_ssh_to_drain.sh
2022-05-18T05:09:34.2829785Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T05:09:34.2829988Z env:
2022-05-18T05:09:34.2830151Z   IN_CI: 1
2022-05-18T05:09:34.2830314Z   IS_GHA: 1
2022-05-18T05:09:34.2830481Z   GIT_DEFAULT_BRANCH: master
2022-05-18T05:09:34.2830667Z ##[endgroup]
2022-05-18T05:09:34.2874523Z Holding runner for 2 hours until all ssh sessions have logged out
2022-05-18T05:09:34.2910368Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2022-05-18T05:09:34.2910688Z # ignore expansion of "docker ps -q" since it could be empty
2022-05-18T05:09:34.2911013Z # shellcheck disable=SC2046
2022-05-18T05:09:34.2911235Z docker stop $(docker ps -q) || true
2022-05-18T05:09:34.2911463Z # Prune all of the docker images
2022-05-18T05:09:34.2911677Z docker system prune -af
2022-05-18T05:09:34.2922359Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T05:09:34.2922574Z env:
2022-05-18T05:09:34.2922721Z   IN_CI: 1
2022-05-18T05:09:34.2922883Z   IS_GHA: 1
2022-05-18T05:09:34.2923060Z   GIT_DEFAULT_BRANCH: master
2022-05-18T05:09:34.2923244Z ##[endgroup]
2022-05-18T05:09:34.6796164Z c790af4ccde8
2022-05-18T05:09:35.3948284Z Deleted Containers:
2022-05-18T05:09:35.3948829Z c790af4ccde8bbd35d6b43750ac0ed3a5491ff4d777ace91eb06ca259dbbe1ef
2022-05-18T05:09:35.3949068Z 
2022-05-18T05:09:40.9676952Z Deleted Images:
2022-05-18T05:09:40.9677639Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3-clang7-asan:6deab82db6a72ca54cd3e3322ee4f13864536734
2022-05-18T05:09:40.9678791Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3-clang7-asan@sha256:fc210a4b7c290dd6ffcdb18f577079942234d307ac30fbd503782d770782b7ba
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2022-05-18T05:09:41.3983011Z [command]/usr/bin/git version
2022-05-18T05:09:41.4034715Z git version 2.32.0
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2022-05-18T05:09:41.4126249Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-05-18T05:09:41.4164716Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
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2022-05-18T05:09:41.8025402Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
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