2022-05-18T03:42:02.7462494Z Requested labels: linux.2xlarge
2022-05-18T03:42:02.7462657Z Job defined at: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/master
2022-05-18T03:42:02.7462691Z Waiting for a runner to pick up this job...
2022-05-18T03:42:04.4951124Z Job is about to start running on the runner: i-0d30b4ea7657016cf (repository)
2022-05-18T03:42:08.5472846Z Current runner version: '2.291.1'
2022-05-18T03:42:08.5478888Z Runner name: 'i-0d30b4ea7657016cf'
2022-05-18T03:42:08.5479516Z Runner group name: 'Default'
2022-05-18T03:42:08.5480177Z Machine name: 'ip-10-0-3-92'
2022-05-18T03:42:08.5482187Z ##[group]GITHUB_TOKEN Permissions
2022-05-18T03:42:08.5482872Z Actions: write
2022-05-18T03:42:08.5483439Z Checks: write
2022-05-18T03:42:08.5483773Z Contents: write
2022-05-18T03:42:08.5484064Z Deployments: write
2022-05-18T03:42:08.5484407Z Discussions: write
2022-05-18T03:42:08.5484752Z Issues: write
2022-05-18T03:42:08.5485036Z Metadata: read
2022-05-18T03:42:08.5485356Z Packages: write
2022-05-18T03:42:08.5485680Z Pages: write
2022-05-18T03:42:08.5485970Z PullRequests: write
2022-05-18T03:42:08.5486399Z RepositoryProjects: write
2022-05-18T03:42:08.5486765Z SecurityEvents: write
2022-05-18T03:42:08.5487065Z Statuses: write
2022-05-18T03:42:08.5487393Z ##[endgroup]
2022-05-18T03:42:08.5490705Z Secret source: Actions
2022-05-18T03:42:08.5491372Z Prepare workflow directory
2022-05-18T03:42:08.7846993Z Prepare all required actions
2022-05-18T03:42:08.8031401Z Getting action download info
2022-05-18T03:42:08.9955160Z Download action repository 'pytorch/pytorch@master' (SHA:acf7136a525422459d97d5f993e30afdff18b1b9)
2022-05-18T03:42:11.6374649Z Download action repository 'nick-fields/retry@71062288b76e2b6214ebde0e673ce0de1755740a' (SHA:71062288b76e2b6214ebde0e673ce0de1755740a)
2022-05-18T03:42:11.7392591Z Download action repository 'seemethere/upload-artifact-s3@v4' (SHA:c1c31f57581a11fe6d4d052da6276adb2df71f1e)
2022-05-18T03:42:11.9755709Z Getting action download info
2022-05-18T03:42:12.1116876Z Download action repository 'malfet/checkout@silent-checkout' (SHA:f63e9e15406be6060f159846cd2e098f759c5246)
2022-05-18T03:42:12.2737905Z Getting action download info
2022-05-18T03:42:12.4807225Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@master
2022-05-18T03:42:12.4807580Z with:
2022-05-18T03:42:12.4807800Z   submodules: recursive
2022-05-18T03:42:12.4808043Z   fetch-depth: 0
2022-05-18T03:42:12.4808273Z env:
2022-05-18T03:42:12.4808464Z   IN_CI: 1
2022-05-18T03:42:12.4808674Z   IS_GHA: 1
2022-05-18T03:42:12.4808914Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:42:12.4809135Z ##[endgroup]
2022-05-18T03:42:12.5056461Z ##[group]Run echo "${GITHUB_WORKSPACE}"
2022-05-18T03:42:12.5056809Z echo "${GITHUB_WORKSPACE}"
2022-05-18T03:42:12.5057078Z if [ -z "${NO_SUDO}" ]; then
2022-05-18T03:42:12.5057344Z   sudo rm -rf "${GITHUB_WORKSPACE}"
2022-05-18T03:42:12.5057572Z else
2022-05-18T03:42:12.5057809Z   rm -rf "${GITHUB_WORKSPACE}"
2022-05-18T03:42:12.5058042Z fi
2022-05-18T03:42:12.5058255Z mkdir "${GITHUB_WORKSPACE}"
2022-05-18T03:42:12.5080043Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T03:42:12.5080548Z env:
2022-05-18T03:42:12.5080888Z   IN_CI: 1
2022-05-18T03:42:12.5081226Z   IS_GHA: 1
2022-05-18T03:42:12.5081597Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:42:12.5081969Z   NO_SUDO: 
2022-05-18T03:42:12.5082347Z ##[endgroup]
2022-05-18T03:42:12.5276054Z /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-05-18T03:42:12.7638707Z ##[group]Run malfet/checkout@silent-checkout
2022-05-18T03:42:12.7638960Z with:
2022-05-18T03:42:12.7639175Z   ref: 3b2375291aab7b48442f2e6fb1ef66cebc761e24
2022-05-18T03:42:12.7639381Z   fetch-depth: 0
2022-05-18T03:42:12.7639579Z   submodules: recursive
2022-05-18T03:42:12.7639777Z   quiet-checkout: true
2022-05-18T03:42:12.7639974Z   repository: pytorch/pytorch
2022-05-18T03:42:12.7640358Z   token: ***
2022-05-18T03:42:12.7640540Z   ssh-strict: true
2022-05-18T03:42:12.7640747Z   persist-credentials: true
2022-05-18T03:42:12.7640935Z   clean: true
2022-05-18T03:42:12.7641108Z   lfs: false
2022-05-18T03:42:12.7641308Z   set-safe-directory: true
2022-05-18T03:42:12.7641486Z env:
2022-05-18T03:42:12.7641647Z   IN_CI: 1
2022-05-18T03:42:12.7641813Z   IS_GHA: 1
2022-05-18T03:42:12.7641987Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:42:12.7642182Z ##[endgroup]
2022-05-18T03:42:12.8874419Z Syncing repository: pytorch/pytorch
2022-05-18T03:42:12.8876703Z ##[group]Getting Git version info
2022-05-18T03:42:12.8877518Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2022-05-18T03:42:12.8878367Z [command]/usr/bin/git version
2022-05-18T03:42:12.8878682Z git version 2.32.0
2022-05-18T03:42:12.8879720Z ##[endgroup]
2022-05-18T03:42:12.8897087Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/fc1855da-4f21-4de5-bf75-fd28f80afb3b' before making global git config changes
2022-05-18T03:42:12.8897850Z Adding repository directory to the temporary git global config as a safe directory
2022-05-18T03:42:12.8903070Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-05-18T03:42:12.8943587Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2022-05-18T03:42:12.8948005Z ##[group]Initializing the repository
2022-05-18T03:42:12.8953558Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-05-18T03:42:12.8983585Z hint: Using 'master' as the name for the initial branch. This default branch name
2022-05-18T03:42:12.8984066Z hint: is subject to change. To configure the initial branch name to use in all
2022-05-18T03:42:12.8984700Z hint: of your new repositories, which will suppress this warning, call:
2022-05-18T03:42:12.8984960Z hint: 
2022-05-18T03:42:12.8985395Z hint: 	git config --global init.defaultBranch <name>
2022-05-18T03:42:12.8985830Z hint: 
2022-05-18T03:42:12.8986358Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2022-05-18T03:42:12.8987037Z hint: 'development'. The just-created branch can be renamed via this command:
2022-05-18T03:42:12.8987417Z hint: 
2022-05-18T03:42:12.8988012Z hint: 	git branch -m <name>
2022-05-18T03:42:12.8988726Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2022-05-18T03:42:12.8996118Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2022-05-18T03:42:12.9025511Z ##[endgroup]
2022-05-18T03:42:12.9026275Z ##[group]Disabling automatic garbage collection
2022-05-18T03:42:12.9031382Z [command]/usr/bin/git config --local gc.auto 0
2022-05-18T03:42:12.9058918Z ##[endgroup]
2022-05-18T03:42:12.9059535Z ##[group]Setting up auth
2022-05-18T03:42:12.9067588Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2022-05-18T03:42:12.9098363Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :
2022-05-18T03:42:12.9359142Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2022-05-18T03:42:12.9394828Z [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' || :
2022-05-18T03:42:12.9657528Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2022-05-18T03:42:12.9702282Z ##[endgroup]
2022-05-18T03:42:12.9702976Z ##[group]Fetching the repository
2022-05-18T03:42:12.9709981Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --quiet --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2022-05-18T03:42:51.0868953Z [command]/usr/bin/git rev-parse --verify --quiet 3b2375291aab7b48442f2e6fb1ef66cebc761e24^{object}
2022-05-18T03:42:51.0894766Z 3b2375291aab7b48442f2e6fb1ef66cebc761e24
2022-05-18T03:42:51.0899884Z ##[endgroup]
2022-05-18T03:42:51.0900254Z ##[group]Determining the checkout info
2022-05-18T03:42:51.0901763Z ##[endgroup]
2022-05-18T03:42:51.0902134Z ##[group]Checking out the ref
2022-05-18T03:42:51.0906443Z [command]/usr/bin/git checkout --quiet --force 3b2375291aab7b48442f2e6fb1ef66cebc761e24
2022-05-18T03:42:52.3083952Z ##[endgroup]
2022-05-18T03:42:52.3084899Z ##[group]Setting up auth for fetching submodules
2022-05-18T03:42:52.3091300Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2022-05-18T03:42:52.3140342Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2022-05-18T03:42:52.3172373Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2022-05-18T03:42:52.3202007Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2022-05-18T03:42:52.3228810Z ##[endgroup]
2022-05-18T03:42:52.3229397Z ##[group]Fetching submodules
2022-05-18T03:42:52.3234734Z [command]/usr/bin/git submodule sync --recursive
2022-05-18T03:42:52.3506164Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2022-05-18T03:42:52.3771971Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2022-05-18T03:42:52.3774356Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2022-05-18T03:42:52.3775128Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2022-05-18T03:42:52.3776700Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2022-05-18T03:42:52.3779299Z Submodule 'third_party/QNNPACK' (https://github.com/pytorch/QNNPACK) registered for path 'third_party/QNNPACK'
2022-05-18T03:42:52.3781831Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2022-05-18T03:42:52.3784783Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2022-05-18T03:42:52.3787799Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2022-05-18T03:42:52.3790627Z Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub'
2022-05-18T03:42:52.3793869Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2022-05-18T03:42:52.3796926Z Submodule 'third_party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'third_party/eigen'
2022-05-18T03:42:52.3800133Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2022-05-18T03:42:52.3804943Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2022-05-18T03:42:52.3808280Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2022-05-18T03:42:52.3811640Z Submodule 'third_party/foxi' (https://github.com/houseroad/foxi.git) registered for path 'third_party/foxi'
2022-05-18T03:42:52.3815409Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2022-05-18T03:42:52.3819218Z Submodule 'third_party/gloo' (https://github.com/facebookincubator/gloo) registered for path 'third_party/gloo'
2022-05-18T03:42:52.3823085Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2022-05-18T03:42:52.3827271Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2022-05-18T03:42:52.3831448Z Submodule 'third_party/ios-cmake' (https://github.com/Yangqing/ios-cmake.git) registered for path 'third_party/ios-cmake'
2022-05-18T03:42:52.3835662Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2022-05-18T03:42:52.3839917Z Submodule 'third_party/nccl/nccl' (https://github.com/NVIDIA/nccl) registered for path 'third_party/nccl/nccl'
2022-05-18T03:42:52.3844625Z Submodule 'third_party/neon2sse' (https://github.com/intel/ARM_NEON_2_x86_SSE.git) registered for path 'third_party/neon2sse'
2022-05-18T03:42:52.3849154Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2022-05-18T03:42:52.3853723Z Submodule 'third_party/onnx-tensorrt' (https://github.com/onnx/onnx-tensorrt) registered for path 'third_party/onnx-tensorrt'
2022-05-18T03:42:52.3858422Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2022-05-18T03:42:52.3863249Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2022-05-18T03:42:52.3868481Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2022-05-18T03:42:52.3873349Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2022-05-18T03:42:52.3878542Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2022-05-18T03:42:52.3884000Z Submodule 'third_party/python-enum' (https://github.com/PeachPy/enum34.git) registered for path 'third_party/python-enum'
2022-05-18T03:42:52.3890321Z Submodule 'third_party/python-peachpy' (https://github.com/Maratyszcza/PeachPy.git) registered for path 'third_party/python-peachpy'
2022-05-18T03:42:52.3896354Z Submodule 'third_party/python-six' (https://github.com/benjaminp/six.git) registered for path 'third_party/python-six'
2022-05-18T03:42:52.3902228Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2022-05-18T03:42:52.3908695Z Submodule 'third_party/tbb' (https://github.com/01org/tbb) registered for path 'third_party/tbb'
2022-05-18T03:42:52.3914973Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2022-05-18T03:42:52.3921649Z Submodule 'third_party/zstd' (https://github.com/facebook/zstd.git) registered for path 'third_party/zstd'
2022-05-18T03:42:52.3985408Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2022-05-18T03:42:52.6163949Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2022-05-18T03:42:52.8502312Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2022-05-18T03:42:53.0218013Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2022-05-18T03:42:53.2559097Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/QNNPACK'...
2022-05-18T03:42:53.5402180Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2022-05-18T03:42:58.1632775Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2022-05-18T03:42:58.4906986Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2022-05-18T03:42:58.9173149Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cub'...
2022-05-18T03:43:00.1963544Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2022-05-18T03:43:01.1935718Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/eigen'...
2022-05-18T03:43:05.5510262Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2022-05-18T03:43:06.0711427Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2022-05-18T03:43:07.0175046Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2022-05-18T03:43:08.0271635Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/foxi'...
2022-05-18T03:43:08.1971977Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2022-05-18T03:43:08.7211079Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2022-05-18T03:43:08.9816885Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2022-05-18T03:43:09.8876163Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2022-05-18T03:43:10.2192148Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ios-cmake'...
2022-05-18T03:43:10.3913880Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2022-05-18T03:43:11.7308171Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nccl/nccl'...
2022-05-18T03:43:12.0508961Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/neon2sse'...
2022-05-18T03:43:12.3644983Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2022-05-18T03:43:13.5998551Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx-tensorrt'...
2022-05-18T03:43:13.9515709Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2022-05-18T03:43:14.2011681Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'...
2022-05-18T03:43:18.6402734Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2022-05-18T03:43:18.8103115Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2022-05-18T03:43:19.0086854Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
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2022-05-18T03:43:51.8185857Z ##[endgroup]
2022-05-18T03:43:51.8186345Z ##[group]Persisting credentials for submodules
2022-05-18T03:43:51.8193352Z [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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2022-05-18T03:43:52.0179413Z Entering 'third_party/sleef'
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2022-05-18T03:43:52.0460884Z Entering 'third_party/zstd'
2022-05-18T03:43:52.0508497Z [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
2022-05-18T03:43:52.0782351Z Entering 'android/libs/fbjni'
2022-05-18T03:43:52.0814242Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2022-05-18T03:43:52.0828023Z Entering 'third_party/FP16'
2022-05-18T03:43:52.0861049Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2022-05-18T03:43:52.0874869Z Entering 'third_party/FXdiv'
2022-05-18T03:43:52.0907375Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2022-05-18T03:43:52.0921804Z Entering 'third_party/NNPACK'
2022-05-18T03:43:52.0954992Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2022-05-18T03:43:52.0969634Z Entering 'third_party/QNNPACK'
2022-05-18T03:43:52.1001457Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/QNNPACK/config	remote.origin.url
2022-05-18T03:43:52.1015562Z Entering 'third_party/XNNPACK'
2022-05-18T03:43:52.1047960Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2022-05-18T03:43:52.1071625Z Entering 'third_party/benchmark'
2022-05-18T03:43:52.1104849Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2022-05-18T03:43:52.1118759Z Entering 'third_party/cpuinfo'
2022-05-18T03:43:52.1151004Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2022-05-18T03:43:52.1165406Z Entering 'third_party/cub'
2022-05-18T03:43:52.1196335Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cub/config	remote.origin.url
2022-05-18T03:43:52.1210188Z Entering 'third_party/cudnn_frontend'
2022-05-18T03:43:52.1241693Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2022-05-18T03:43:52.1260726Z Entering 'third_party/eigen'
2022-05-18T03:43:52.1293609Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/eigen/config	remote.origin.url
2022-05-18T03:43:52.1309732Z Entering 'third_party/fbgemm'
2022-05-18T03:43:52.1342883Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2022-05-18T03:43:52.1357626Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-05-18T03:43:52.1391248Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/asmjit/config	remote.origin.url
2022-05-18T03:43:52.1405551Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-05-18T03:43:52.1438227Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/cpuinfo/config	remote.origin.url
2022-05-18T03:43:52.1453372Z Entering 'third_party/fbgemm/third_party/googletest'
2022-05-18T03:43:52.1486761Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/googletest/config	remote.origin.url
2022-05-18T03:43:52.1502674Z Entering 'third_party/flatbuffers'
2022-05-18T03:43:52.1535906Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config	remote.origin.url
2022-05-18T03:43:52.1552732Z Entering 'third_party/fmt'
2022-05-18T03:43:52.1585207Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config	remote.origin.url
2022-05-18T03:43:52.1600000Z Entering 'third_party/foxi'
2022-05-18T03:43:52.1634175Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/foxi/config	remote.origin.url
2022-05-18T03:43:52.1648523Z Entering 'third_party/gemmlowp/gemmlowp'
2022-05-18T03:43:52.1682060Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config	remote.origin.url
2022-05-18T03:43:52.1696296Z Entering 'third_party/gloo'
2022-05-18T03:43:52.1728309Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config	remote.origin.url
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2022-05-18T03:43:52.1774994Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config	remote.origin.url
2022-05-18T03:43:52.1790039Z Entering 'third_party/ideep'
2022-05-18T03:43:52.1822256Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config	remote.origin.url
2022-05-18T03:43:52.1835712Z Entering 'third_party/ideep/mkl-dnn'
2022-05-18T03:43:52.1868683Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config	remote.origin.url
2022-05-18T03:43:52.1884860Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-05-18T03:43:52.1917830Z 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
2022-05-18T03:43:52.1938909Z Entering 'third_party/ios-cmake'
2022-05-18T03:43:52.1973744Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ios-cmake/config	remote.origin.url
2022-05-18T03:43:52.1988082Z Entering 'third_party/kineto'
2022-05-18T03:43:52.2021636Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config	remote.origin.url
2022-05-18T03:43:52.2036080Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-05-18T03:43:52.2068760Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config	remote.origin.url
2022-05-18T03:43:52.2084210Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-05-18T03:43:52.2117255Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config	remote.origin.url
2022-05-18T03:43:52.2133936Z Entering 'third_party/nccl/nccl'
2022-05-18T03:43:52.2167655Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/nccl/nccl/config	remote.origin.url
2022-05-18T03:43:52.2182317Z Entering 'third_party/neon2sse'
2022-05-18T03:43:52.2215803Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/neon2sse/config	remote.origin.url
2022-05-18T03:43:52.2230009Z Entering 'third_party/onnx'
2022-05-18T03:43:52.2263990Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config	remote.origin.url
2022-05-18T03:43:52.2290711Z Entering 'third_party/onnx/third_party/benchmark'
2022-05-18T03:43:52.2323779Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/benchmark/config	remote.origin.url
2022-05-18T03:43:52.2338368Z Entering 'third_party/onnx/third_party/pybind11'
2022-05-18T03:43:52.2370808Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
2022-05-18T03:43:52.2387425Z Entering 'third_party/onnx-tensorrt'
2022-05-18T03:43:52.2420888Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/config	remote.origin.url
2022-05-18T03:43:52.2435082Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-05-18T03:43:52.2467832Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/config	remote.origin.url
2022-05-18T03:43:52.2487766Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-05-18T03:43:52.2521281Z 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
2022-05-18T03:43:52.2536284Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-05-18T03:43:52.2568695Z 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
2022-05-18T03:43:52.2583223Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-05-18T03:43:52.2616126Z 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
2022-05-18T03:43:52.2634848Z Entering 'third_party/pocketfft'
2022-05-18T03:43:52.2667750Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config	remote.origin.url
2022-05-18T03:43:52.2682345Z Entering 'third_party/protobuf'
2022-05-18T03:43:52.2715264Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config	remote.origin.url
2022-05-18T03:43:52.2733334Z Entering 'third_party/protobuf/third_party/benchmark'
2022-05-18T03:43:52.2765729Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config	remote.origin.url
2022-05-18T03:43:52.2779599Z Entering 'third_party/protobuf/third_party/googletest'
2022-05-18T03:43:52.2811362Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config	remote.origin.url
2022-05-18T03:43:52.2827545Z Entering 'third_party/psimd'
2022-05-18T03:43:52.2860401Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
2022-05-18T03:43:52.2874896Z Entering 'third_party/pthreadpool'
2022-05-18T03:43:52.2907681Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config	remote.origin.url
2022-05-18T03:43:52.2922798Z Entering 'third_party/pybind11'
2022-05-18T03:43:52.2955691Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config	remote.origin.url
2022-05-18T03:43:52.2970906Z Entering 'third_party/python-enum'
2022-05-18T03:43:52.3003668Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-enum/config	remote.origin.url
2022-05-18T03:43:52.3020189Z Entering 'third_party/python-peachpy'
2022-05-18T03:43:52.3054743Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config	remote.origin.url
2022-05-18T03:43:52.3069084Z Entering 'third_party/python-six'
2022-05-18T03:43:52.3103613Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-six/config	remote.origin.url
2022-05-18T03:43:52.3117525Z Entering 'third_party/sleef'
2022-05-18T03:43:52.3151460Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config	remote.origin.url
2022-05-18T03:43:52.3165910Z Entering 'third_party/tbb'
2022-05-18T03:43:52.3198154Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tbb/config	remote.origin.url
2022-05-18T03:43:52.3214518Z Entering 'third_party/tensorpipe'
2022-05-18T03:43:52.3247930Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config	remote.origin.url
2022-05-18T03:43:52.3262428Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-05-18T03:43:52.3295465Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config	remote.origin.url
2022-05-18T03:43:52.3309344Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-05-18T03:43:52.3341919Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config	remote.origin.url
2022-05-18T03:43:52.3356536Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-05-18T03:43:52.3388762Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
2022-05-18T03:43:52.3403632Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-05-18T03:43:52.3435901Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
2022-05-18T03:43:52.3449773Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-05-18T03:43:52.3481999Z 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
2022-05-18T03:43:52.3498421Z Entering 'third_party/zstd'
2022-05-18T03:43:52.3531872Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/zstd/config	remote.origin.url
2022-05-18T03:43:52.4157241Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2022-05-18T03:43:52.4430031Z Entering 'android/libs/fbjni'
2022-05-18T03:43:52.4467966Z Entering 'third_party/FP16'
2022-05-18T03:43:52.4504067Z Entering 'third_party/FXdiv'
2022-05-18T03:43:52.4540544Z Entering 'third_party/NNPACK'
2022-05-18T03:43:52.4577165Z Entering 'third_party/QNNPACK'
2022-05-18T03:43:52.4612932Z Entering 'third_party/XNNPACK'
2022-05-18T03:43:52.4658453Z Entering 'third_party/benchmark'
2022-05-18T03:43:52.4694535Z Entering 'third_party/cpuinfo'
2022-05-18T03:43:52.4729645Z Entering 'third_party/cub'
2022-05-18T03:43:52.4765065Z Entering 'third_party/cudnn_frontend'
2022-05-18T03:43:52.4804795Z Entering 'third_party/eigen'
2022-05-18T03:43:52.4840932Z Entering 'third_party/fbgemm'
2022-05-18T03:43:52.4876021Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-05-18T03:43:52.4910294Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-05-18T03:43:52.4945981Z Entering 'third_party/fbgemm/third_party/googletest'
2022-05-18T03:43:52.4981673Z Entering 'third_party/flatbuffers'
2022-05-18T03:43:52.5019351Z Entering 'third_party/fmt'
2022-05-18T03:43:52.5055060Z Entering 'third_party/foxi'
2022-05-18T03:43:52.5090402Z Entering 'third_party/gemmlowp/gemmlowp'
2022-05-18T03:43:52.5127125Z Entering 'third_party/gloo'
2022-05-18T03:43:52.5162017Z Entering 'third_party/googletest'
2022-05-18T03:43:52.5197698Z Entering 'third_party/ideep'
2022-05-18T03:43:52.5232950Z Entering 'third_party/ideep/mkl-dnn'
2022-05-18T03:43:52.5269733Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-05-18T03:43:52.5311677Z Entering 'third_party/ios-cmake'
2022-05-18T03:43:52.5345726Z Entering 'third_party/kineto'
2022-05-18T03:43:52.5381978Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-05-18T03:43:52.5416329Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-05-18T03:43:52.5452259Z Entering 'third_party/nccl/nccl'
2022-05-18T03:43:52.5487897Z Entering 'third_party/neon2sse'
2022-05-18T03:43:52.5523064Z Entering 'third_party/onnx'
2022-05-18T03:43:52.5568660Z Entering 'third_party/onnx/third_party/benchmark'
2022-05-18T03:43:52.5604628Z Entering 'third_party/onnx/third_party/pybind11'
2022-05-18T03:43:52.5641565Z Entering 'third_party/onnx-tensorrt'
2022-05-18T03:43:52.5676556Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-05-18T03:43:52.5716129Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-05-18T03:43:52.5751433Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-05-18T03:43:52.5786181Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-05-18T03:43:52.5825394Z Entering 'third_party/pocketfft'
2022-05-18T03:43:52.5860038Z Entering 'third_party/protobuf'
2022-05-18T03:43:52.5898523Z Entering 'third_party/protobuf/third_party/benchmark'
2022-05-18T03:43:52.5932475Z Entering 'third_party/protobuf/third_party/googletest'
2022-05-18T03:43:52.5968807Z Entering 'third_party/psimd'
2022-05-18T03:43:52.6004146Z Entering 'third_party/pthreadpool'
2022-05-18T03:43:52.6039408Z Entering 'third_party/pybind11'
2022-05-18T03:43:52.6075667Z Entering 'third_party/python-enum'
2022-05-18T03:43:52.6111549Z Entering 'third_party/python-peachpy'
2022-05-18T03:43:52.6147753Z Entering 'third_party/python-six'
2022-05-18T03:43:52.6182800Z Entering 'third_party/sleef'
2022-05-18T03:43:52.6218742Z Entering 'third_party/tbb'
2022-05-18T03:43:52.6257286Z Entering 'third_party/tensorpipe'
2022-05-18T03:43:52.6293111Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-05-18T03:43:52.6328192Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-05-18T03:43:52.6362520Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-05-18T03:43:52.6398494Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-05-18T03:43:52.6432705Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-05-18T03:43:52.6470712Z Entering 'third_party/zstd'
2022-05-18T03:43:52.6519600Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2022-05-18T03:43:52.6793482Z Entering 'android/libs/fbjni'
2022-05-18T03:43:52.6830772Z Entering 'third_party/FP16'
2022-05-18T03:43:52.6866536Z Entering 'third_party/FXdiv'
2022-05-18T03:43:52.6904068Z Entering 'third_party/NNPACK'
2022-05-18T03:43:52.6939957Z Entering 'third_party/QNNPACK'
2022-05-18T03:43:52.6975633Z Entering 'third_party/XNNPACK'
2022-05-18T03:43:52.7021246Z Entering 'third_party/benchmark'
2022-05-18T03:43:52.7056139Z Entering 'third_party/cpuinfo'
2022-05-18T03:43:52.7092683Z Entering 'third_party/cub'
2022-05-18T03:43:52.7128479Z Entering 'third_party/cudnn_frontend'
2022-05-18T03:43:52.7168409Z Entering 'third_party/eigen'
2022-05-18T03:43:52.7205255Z Entering 'third_party/fbgemm'
2022-05-18T03:43:52.7240318Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-05-18T03:43:52.7276096Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-05-18T03:43:52.7311087Z Entering 'third_party/fbgemm/third_party/googletest'
2022-05-18T03:43:52.7346681Z Entering 'third_party/flatbuffers'
2022-05-18T03:43:52.7385043Z Entering 'third_party/fmt'
2022-05-18T03:43:52.7419790Z Entering 'third_party/foxi'
2022-05-18T03:43:52.7455610Z Entering 'third_party/gemmlowp/gemmlowp'
2022-05-18T03:43:52.7492036Z Entering 'third_party/gloo'
2022-05-18T03:43:52.7527313Z Entering 'third_party/googletest'
2022-05-18T03:43:52.7562285Z Entering 'third_party/ideep'
2022-05-18T03:43:52.7598101Z Entering 'third_party/ideep/mkl-dnn'
2022-05-18T03:43:52.7634677Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-05-18T03:43:52.7676435Z Entering 'third_party/ios-cmake'
2022-05-18T03:43:52.7711297Z Entering 'third_party/kineto'
2022-05-18T03:43:52.7747457Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-05-18T03:43:52.7781491Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-05-18T03:43:52.7817308Z Entering 'third_party/nccl/nccl'
2022-05-18T03:43:52.7851978Z Entering 'third_party/neon2sse'
2022-05-18T03:43:52.7887105Z Entering 'third_party/onnx'
2022-05-18T03:43:52.7933072Z Entering 'third_party/onnx/third_party/benchmark'
2022-05-18T03:43:52.7968970Z Entering 'third_party/onnx/third_party/pybind11'
2022-05-18T03:43:52.8004898Z Entering 'third_party/onnx-tensorrt'
2022-05-18T03:43:52.8038391Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-05-18T03:43:52.8077868Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-05-18T03:43:52.8113995Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-05-18T03:43:52.8148408Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-05-18T03:43:52.8186971Z Entering 'third_party/pocketfft'
2022-05-18T03:43:52.8222303Z Entering 'third_party/protobuf'
2022-05-18T03:43:52.8260248Z Entering 'third_party/protobuf/third_party/benchmark'
2022-05-18T03:43:52.8295003Z Entering 'third_party/protobuf/third_party/googletest'
2022-05-18T03:43:52.8331407Z Entering 'third_party/psimd'
2022-05-18T03:43:52.8366823Z Entering 'third_party/pthreadpool'
2022-05-18T03:43:52.8401276Z Entering 'third_party/pybind11'
2022-05-18T03:43:52.8436631Z Entering 'third_party/python-enum'
2022-05-18T03:43:52.8472503Z Entering 'third_party/python-peachpy'
2022-05-18T03:43:52.8508729Z Entering 'third_party/python-six'
2022-05-18T03:43:52.8545151Z Entering 'third_party/sleef'
2022-05-18T03:43:52.8580546Z Entering 'third_party/tbb'
2022-05-18T03:43:52.8617909Z Entering 'third_party/tensorpipe'
2022-05-18T03:43:52.8653101Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-05-18T03:43:52.8687821Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-05-18T03:43:52.8721391Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-05-18T03:43:52.8756025Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-05-18T03:43:52.8790164Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-05-18T03:43:52.8826846Z Entering 'third_party/zstd'
2022-05-18T03:43:52.8869049Z ##[endgroup]
2022-05-18T03:43:52.8910434Z [command]/usr/bin/git log -1 --format='%H'
2022-05-18T03:43:52.8938671Z '3b2375291aab7b48442f2e6fb1ef66cebc761e24'
2022-05-18T03:43:52.9064340Z Prepare all required actions
2022-05-18T03:43:52.9089054Z ##[group]Run ./.github/actions/setup-linux
2022-05-18T03:43:52.9089272Z env:
2022-05-18T03:43:52.9089440Z   IN_CI: 1
2022-05-18T03:43:52.9089598Z   IS_GHA: 1
2022-05-18T03:43:52.9089793Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:43:52.9089997Z ##[endgroup]
2022-05-18T03:43:52.9103495Z ##[group]Run set -euo pipefail
2022-05-18T03:43:52.9103745Z set -euo pipefail
2022-05-18T03:43:52.9103972Z function get_ec2_metadata() {
2022-05-18T03:43:52.9104220Z   # Pulled from instance metadata endpoint for EC2
2022-05-18T03:43:52.9104596Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2022-05-18T03:43:52.9104923Z   category=$1
2022-05-18T03:43:52.9105183Z   curl -fsSL "http://169.254.169.254/latest/meta-data/${category}"
2022-05-18T03:43:52.9105405Z }
2022-05-18T03:43:52.9105649Z echo "ami-id: $(get_ec2_metadata ami-id)"
2022-05-18T03:43:52.9105920Z echo "instance-id: $(get_ec2_metadata instance-id)"
2022-05-18T03:43:52.9106196Z echo "instance-type: $(get_ec2_metadata instance-type)"
2022-05-18T03:43:52.9106575Z echo "system info $(uname -a)"
2022-05-18T03:43:52.9117930Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T03:43:52.9118145Z env:
2022-05-18T03:43:52.9118317Z   IN_CI: 1
2022-05-18T03:43:52.9118486Z   IS_GHA: 1
2022-05-18T03:43:52.9118662Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:43:52.9118859Z ##[endgroup]
2022-05-18T03:43:52.9199823Z ami-id: ami-096198a0bccc6bad4
2022-05-18T03:43:52.9253727Z instance-id: i-0d30b4ea7657016cf
2022-05-18T03:43:52.9303448Z instance-type: c5.2xlarge
2022-05-18T03:43:52.9310284Z system info Linux ip-10-0-3-92.ec2.internal 4.14.252-195.483.amzn2.x86_64 #1 SMP Mon Nov 1 20:58:46 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux
2022-05-18T03:43:52.9326194Z ##[group]Run if systemctl is-active --quiet docker; then
2022-05-18T03:43:52.9326578Z if systemctl is-active --quiet docker; then
2022-05-18T03:43:52.9326892Z     echo "Docker daemon is running...";
2022-05-18T03:43:52.9327090Z else
2022-05-18T03:43:52.9327340Z     echo "Starting docker deamon..." && sudo systemctl start docker;
2022-05-18T03:43:52.9327587Z fi
2022-05-18T03:43:52.9338646Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T03:43:52.9338877Z env:
2022-05-18T03:43:52.9339046Z   IN_CI: 1
2022-05-18T03:43:52.9339201Z   IS_GHA: 1
2022-05-18T03:43:52.9339392Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:43:52.9339592Z ##[endgroup]
2022-05-18T03:43:52.9381237Z Docker daemon is running...
2022-05-18T03:43:52.9395544Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2022-05-18T03:43:52.9395920Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2022-05-18T03:43:52.9396227Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2022-05-18T03:43:52.9396640Z retry aws ecr get-login*** "$AWS_DEFAULT_REGION" | docker login --username AWS \
2022-05-18T03:43:52.9396991Z     --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"
2022-05-18T03:43:52.9407761Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T03:43:52.9407996Z env:
2022-05-18T03:43:52.9408147Z   IN_CI: 1
2022-05-18T03:43:52.9408315Z   IS_GHA: 1
2022-05-18T03:43:52.9408507Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:43:52.9408699Z   AWS_RETRY_MODE: standard
2022-05-18T03:43:52.9408894Z   AWS_MAX_ATTEMPTS: 5
2022-05-18T03:43:52.9409100Z   AWS_DEFAULT_REGION: us-east-1
2022-05-18T03:43:52.9409291Z ##[endgroup]
2022-05-18T03:43:53.7555061Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2022-05-18T03:43:53.7555539Z Configure a credential helper to remove this warning. See
2022-05-18T03:43:53.7556195Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2022-05-18T03:43:53.7556463Z 
2022-05-18T03:43:53.7556579Z Login Succeeded
2022-05-18T03:43:53.7589642Z ##[group]Run env | grep '^GITHUB' > "/tmp/github_env_${GITHUB_RUN_ID}"
2022-05-18T03:43:53.7590027Z env | grep '^GITHUB' > "/tmp/github_env_${GITHUB_RUN_ID}"
2022-05-18T03:43:53.7601611Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T03:43:53.7601907Z env:
2022-05-18T03:43:53.7602091Z   IN_CI: 1
2022-05-18T03:43:53.7602382Z   IS_GHA: 1
2022-05-18T03:43:53.7602636Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:43:53.7602850Z ##[endgroup]
2022-05-18T03:43:53.7677769Z Prepare all required actions
2022-05-18T03:43:53.7678032Z Getting action download info
2022-05-18T03:43:53.9119792Z Download action repository 'seemethere/add-github-ssh-key@v1' (SHA:1ecffedb1e192a50aa67dba2f0e048e5d3bfa144)
2022-05-18T03:43:54.0137557Z ##[group]Run ./.github/actions/setup-ssh
2022-05-18T03:43:54.0137778Z with:
2022-05-18T03:43:54.0138115Z   github-secret: ***
2022-05-18T03:43:54.0138282Z env:
2022-05-18T03:43:54.0138444Z   IN_CI: 1
2022-05-18T03:43:54.0138614Z   IS_GHA: 1
2022-05-18T03:43:54.0138791Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:43:54.0138990Z ##[endgroup]
2022-05-18T03:43:54.0158503Z ##[group]Run seemethere/add-github-ssh-key@v1
2022-05-18T03:43:54.0158732Z with:
2022-05-18T03:43:54.0159042Z   GITHUB_TOKEN: ***
2022-05-18T03:43:54.0159250Z   activate-with-label: false
2022-05-18T03:43:54.0159443Z   label: with-ssh
2022-05-18T03:43:54.0159646Z   remove-existing-keys: true
2022-05-18T03:43:54.0159840Z env:
2022-05-18T03:43:54.0159988Z   IN_CI: 1
2022-05-18T03:43:54.0160192Z   IS_GHA: 1
2022-05-18T03:43:54.0160366Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:43:54.0160564Z ##[endgroup]
2022-05-18T03:43:54.0676278Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2022-05-18T03:43:54.0720336Z Prepare all required actions
2022-05-18T03:43:54.0736569Z ##[group]Run ./.github/actions/pull-docker-image
2022-05-18T03:43:54.0736793Z with:
2022-05-18T03:43:54.0737165Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3-clang7-onnx:6deab82db6a72ca54cd3e3322ee4f13864536734
2022-05-18T03:43:54.0737512Z env:
2022-05-18T03:43:54.0737674Z   IN_CI: 1
2022-05-18T03:43:54.0737840Z   IS_GHA: 1
2022-05-18T03:43:54.0738021Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:43:54.0738215Z ##[endgroup]
2022-05-18T03:43:54.0749697Z ##[group]Run retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2022-05-18T03:43:54.0749981Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2022-05-18T03:43:54.0750231Z retry docker pull "${DOCKER_IMAGE}"
2022-05-18T03:43:54.0761311Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T03:43:54.0761642Z env:
2022-05-18T03:43:54.0761805Z   IN_CI: 1
2022-05-18T03:43:54.0762001Z   IS_GHA: 1
2022-05-18T03:43:54.0762193Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:43:54.0762579Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3-clang7-onnx:6deab82db6a72ca54cd3e3322ee4f13864536734
2022-05-18T03:43:54.0763117Z ##[endgroup]
2022-05-18T03:43:54.3046834Z 6deab82db6a72ca54cd3e3322ee4f13864536734: Pulling from pytorch/pytorch-linux-xenial-py3-clang7-onnx
2022-05-18T03:43:54.3053716Z 58690f9b18fc: Pulling fs layer
2022-05-18T03:43:54.3054083Z b51569e7c507: Pulling fs layer
2022-05-18T03:43:54.3054411Z da8ef40b9eca: Pulling fs layer
2022-05-18T03:43:54.3054736Z fb15d46c38dc: Pulling fs layer
2022-05-18T03:43:54.3055083Z 71269d108617: Pulling fs layer
2022-05-18T03:43:54.3055402Z 10537a6d3150: Pulling fs layer
2022-05-18T03:43:54.3055618Z 59eb2c098585: Pulling fs layer
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2022-05-18T03:43:54.3056242Z 5526374c6ff0: Pulling fs layer
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2022-05-18T03:43:54.3056643Z 96d3bccf6538: Pulling fs layer
2022-05-18T03:43:54.3056917Z 69da8e453b83: Waiting
2022-05-18T03:43:54.3057226Z 107c321d19a2: Pulling fs layer
2022-05-18T03:43:54.3057479Z 3ccf25464642: Pulling fs layer
2022-05-18T03:43:54.3057807Z fa3ebf277ea9: Pulling fs layer
2022-05-18T03:43:54.3058148Z 59eb2c098585: Waiting
2022-05-18T03:43:54.3058714Z 71269d108617: Waiting
2022-05-18T03:43:54.3059038Z 1935fef7619d: Pulling fs layer
2022-05-18T03:43:54.3059360Z 331c26ea1477: Pulling fs layer
2022-05-18T03:43:54.3059581Z a820f3decf8c: Waiting
2022-05-18T03:43:54.3059778Z e4cda0fc8673: Pulling fs layer
2022-05-18T03:43:54.3059976Z 96d3bccf6538: Waiting
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2022-05-18T03:43:54.3060355Z 3ccf25464642: Waiting
2022-05-18T03:43:54.3060539Z 107c321d19a2: Waiting
2022-05-18T03:43:54.3060790Z 7eb329fe1ce6: Pulling fs layer
2022-05-18T03:43:54.3060972Z fa3ebf277ea9: Waiting
2022-05-18T03:43:54.3061176Z 68eaafdb90bf: Pulling fs layer
2022-05-18T03:43:54.3061370Z 1935fef7619d: Waiting
2022-05-18T03:43:54.3061539Z 331c26ea1477: Waiting
2022-05-18T03:43:54.3061729Z 31f4af620806: Pulling fs layer
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2022-05-18T03:43:54.3062121Z a7e60a592bbb: Pulling fs layer
2022-05-18T03:43:54.3062439Z 7eb329fe1ce6: Waiting
2022-05-18T03:43:54.3062719Z a6c8bd4e962b: Pulling fs layer
2022-05-18T03:43:54.3063004Z f861d57d1648: Pulling fs layer
2022-05-18T03:43:54.3063305Z a7e60a592bbb: Waiting
2022-05-18T03:43:54.3066618Z a6c8bd4e962b: Waiting
2022-05-18T03:43:54.3067001Z 4f44c93db860: Pulling fs layer
2022-05-18T03:43:54.3067257Z f861d57d1648: Waiting
2022-05-18T03:43:54.3067554Z dd5871d1c36a: Pulling fs layer
2022-05-18T03:43:54.3067850Z 4f44c93db860: Waiting
2022-05-18T03:43:54.3068187Z f97ca7006c1d: Pulling fs layer
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2022-05-18T03:43:54.3068877Z cc896b7c763f: Pulling fs layer
2022-05-18T03:43:54.3069387Z dd5871d1c36a: Waiting
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2022-05-18T03:43:54.3070683Z 8644ed03fabd: Pulling fs layer
2022-05-18T03:43:54.3071061Z f97ca7006c1d: Waiting
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2022-05-18T03:43:54.3071938Z 62d7f24cd0c0: Waiting
2022-05-18T03:43:54.3072109Z 5958f3f57ebb: Waiting
2022-05-18T03:43:54.3072398Z 77e0e94faedd: Pulling fs layer
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2022-05-18T03:43:54.3073257Z cc896b7c763f: Waiting
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2022-05-18T03:43:54.3075250Z 55968b489a45: Pulling fs layer
2022-05-18T03:43:54.3075443Z 35b4fdbe4c47: Waiting
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2022-05-18T03:43:54.3076206Z fde30d6d4d43: Pulling fs layer
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2022-05-18T03:43:54.3077329Z 55968b489a45: Waiting
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2022-05-18T03:43:54.3078078Z fde30d6d4d43: Waiting
2022-05-18T03:43:54.3078281Z dfcb54fdca09: Pulling fs layer
2022-05-18T03:43:54.3078478Z bd090ea062b4: Waiting
2022-05-18T03:43:54.3078669Z 64dbe1372310: Pulling fs layer
2022-05-18T03:43:54.3078857Z b159261a7639: Pulling fs layer
2022-05-18T03:43:54.3079050Z dfcb54fdca09: Waiting
2022-05-18T03:43:54.3079238Z 29e393060867: Pulling fs layer
2022-05-18T03:43:54.3079415Z 0bec253a9cc3: Waiting
2022-05-18T03:43:54.3079627Z ef2fd506a049: Waiting
2022-05-18T03:43:54.3079814Z b578783d2730: Pulling fs layer
2022-05-18T03:43:54.3079985Z 64dbe1372310: Waiting
2022-05-18T03:43:54.3080183Z b159261a7639: Waiting
2022-05-18T03:43:54.3080358Z 29e393060867: Waiting
2022-05-18T03:43:54.3080515Z b578783d2730: Waiting
2022-05-18T03:43:54.3905943Z b51569e7c507: Verifying Checksum
2022-05-18T03:43:54.3906395Z b51569e7c507: Download complete
2022-05-18T03:43:54.4010763Z da8ef40b9eca: Download complete
2022-05-18T03:43:54.4749796Z fb15d46c38dc: Verifying Checksum
2022-05-18T03:43:54.4750114Z fb15d46c38dc: Download complete
2022-05-18T03:43:54.4973292Z 71269d108617: Verifying Checksum
2022-05-18T03:43:54.4973729Z 71269d108617: Download complete
2022-05-18T03:43:54.5791870Z 59eb2c098585: Download complete
2022-05-18T03:43:54.8315308Z 58690f9b18fc: Verifying Checksum
2022-05-18T03:43:54.8315686Z 58690f9b18fc: Download complete
2022-05-18T03:43:54.9100283Z 52905a521e7e: Verifying Checksum
2022-05-18T03:43:54.9100690Z 52905a521e7e: Download complete
2022-05-18T03:43:54.9834956Z 5526374c6ff0: Verifying Checksum
2022-05-18T03:43:54.9835351Z 5526374c6ff0: Download complete
2022-05-18T03:43:55.0613417Z a820f3decf8c: Download complete
2022-05-18T03:43:55.1618838Z 96d3bccf6538: Verifying Checksum
2022-05-18T03:43:55.1619266Z 96d3bccf6538: Download complete
2022-05-18T03:43:55.2453496Z 107c321d19a2: Download complete
2022-05-18T03:43:55.2995217Z 69da8e453b83: Verifying Checksum
2022-05-18T03:43:55.2995503Z 69da8e453b83: Download complete
2022-05-18T03:43:55.3440612Z 3ccf25464642: Verifying Checksum
2022-05-18T03:43:55.3442297Z 3ccf25464642: Download complete
2022-05-18T03:43:55.3735579Z fa3ebf277ea9: Verifying Checksum
2022-05-18T03:43:55.3736110Z fa3ebf277ea9: Download complete
2022-05-18T03:43:55.4408691Z 1935fef7619d: Verifying Checksum
2022-05-18T03:43:55.4409119Z 1935fef7619d: Download complete
2022-05-18T03:43:55.5135276Z e4cda0fc8673: Verifying Checksum
2022-05-18T03:43:55.5135683Z e4cda0fc8673: Download complete
2022-05-18T03:43:55.5957769Z f5caab08bb2f: Verifying Checksum
2022-05-18T03:43:55.5958172Z f5caab08bb2f: Download complete
2022-05-18T03:43:55.6892781Z 7eb329fe1ce6: Download complete
2022-05-18T03:43:55.7884683Z 68eaafdb90bf: Download complete
2022-05-18T03:43:55.8929293Z 31f4af620806: Verifying Checksum
2022-05-18T03:43:55.8929635Z 31f4af620806: Download complete
2022-05-18T03:43:55.9726861Z 8e1863a602b4: Verifying Checksum
2022-05-18T03:43:55.9727763Z 8e1863a602b4: Download complete
2022-05-18T03:43:56.1839936Z 58690f9b18fc: Pull complete
2022-05-18T03:43:56.2983480Z b51569e7c507: Pull complete
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2022-05-18T03:43:56.6328825Z 71269d108617: Pull complete
2022-05-18T03:43:56.8228965Z a7e60a592bbb: Verifying Checksum
2022-05-18T03:43:56.8229320Z a7e60a592bbb: Download complete
2022-05-18T03:43:56.8994565Z a6c8bd4e962b: Verifying Checksum
2022-05-18T03:43:56.8994994Z a6c8bd4e962b: Download complete
2022-05-18T03:43:56.9026752Z 10537a6d3150: Verifying Checksum
2022-05-18T03:43:56.9027170Z 10537a6d3150: Download complete
2022-05-18T03:43:57.0019553Z 4f44c93db860: Verifying Checksum
2022-05-18T03:43:57.0020000Z 4f44c93db860: Download complete
2022-05-18T03:43:57.0023245Z f861d57d1648: Verifying Checksum
2022-05-18T03:43:57.0024204Z f861d57d1648: Download complete
2022-05-18T03:43:57.0728509Z dd5871d1c36a: Verifying Checksum
2022-05-18T03:43:57.0729057Z dd5871d1c36a: Download complete
2022-05-18T03:43:57.0841309Z f97ca7006c1d: Verifying Checksum
2022-05-18T03:43:57.0842542Z f97ca7006c1d: Download complete
2022-05-18T03:43:57.1484955Z cc896b7c763f: Download complete
2022-05-18T03:43:57.2262126Z 4d90629c62e5: Download complete
2022-05-18T03:43:57.3107837Z 62d7f24cd0c0: Verifying Checksum
2022-05-18T03:43:57.3108455Z 62d7f24cd0c0: Download complete
2022-05-18T03:43:57.3873740Z 556f4872c25a: Download complete
2022-05-18T03:43:57.4638694Z 8644ed03fabd: Download complete
2022-05-18T03:43:57.5409064Z 35b4fdbe4c47: Verifying Checksum
2022-05-18T03:43:57.5409531Z 35b4fdbe4c47: Download complete
2022-05-18T03:43:57.6304130Z 00591ab8f97f: Verifying Checksum
2022-05-18T03:43:57.6305224Z 00591ab8f97f: Download complete
2022-05-18T03:43:57.7424345Z 77e0e94faedd: Verifying Checksum
2022-05-18T03:43:57.7426011Z 77e0e94faedd: Download complete
2022-05-18T03:43:57.8205211Z c529d886e6c7: Download complete
2022-05-18T03:43:57.8869628Z 150fbc850fcc: Download complete
2022-05-18T03:43:57.9613284Z 7b1ed51fd913: Verifying Checksum
2022-05-18T03:43:57.9613748Z 7b1ed51fd913: Download complete
2022-05-18T03:43:58.0459693Z cee4d57d4aa5: Verifying Checksum
2022-05-18T03:43:58.0460044Z cee4d57d4aa5: Download complete
2022-05-18T03:43:58.1682871Z 5958f3f57ebb: Verifying Checksum
2022-05-18T03:43:58.2490157Z b967ae37c78c: Verifying Checksum
2022-05-18T03:43:58.2491724Z b967ae37c78c: Download complete
2022-05-18T03:43:58.3314374Z fde30d6d4d43: Verifying Checksum
2022-05-18T03:43:58.3314829Z fde30d6d4d43: Download complete
2022-05-18T03:43:58.4046801Z bd090ea062b4: Download complete
2022-05-18T03:43:58.4841519Z 5e1909cb4b8e: Verifying Checksum
2022-05-18T03:43:58.4841958Z 5e1909cb4b8e: Download complete
2022-05-18T03:43:58.4863485Z 55968b489a45: Download complete
2022-05-18T03:43:58.5803959Z ef2fd506a049: Verifying Checksum
2022-05-18T03:43:58.5804245Z ef2fd506a049: Download complete
2022-05-18T03:43:58.7338009Z 0bec253a9cc3: Verifying Checksum
2022-05-18T03:43:58.7338371Z 0bec253a9cc3: Download complete
2022-05-18T03:43:58.8200260Z 64dbe1372310: Verifying Checksum
2022-05-18T03:43:58.8200567Z 64dbe1372310: Download complete
2022-05-18T03:43:58.8891851Z b159261a7639: Download complete
2022-05-18T03:43:58.9660335Z 29e393060867: Verifying Checksum
2022-05-18T03:43:58.9660764Z 29e393060867: Download complete
2022-05-18T03:43:59.5653130Z b578783d2730: Verifying Checksum
2022-05-18T03:43:59.5653563Z b578783d2730: Download complete
2022-05-18T03:44:02.2242684Z dfcb54fdca09: Verifying Checksum
2022-05-18T03:44:02.2243218Z dfcb54fdca09: Download complete
2022-05-18T03:44:02.6962618Z 10537a6d3150: Pull complete
2022-05-18T03:44:02.9389703Z 59eb2c098585: Pull complete
2022-05-18T03:44:04.3828016Z 69da8e453b83: Pull complete
2022-05-18T03:44:04.5525440Z 52905a521e7e: Pull complete
2022-05-18T03:44:04.7341818Z 5526374c6ff0: Pull complete
2022-05-18T03:44:04.9654252Z a820f3decf8c: Pull complete
2022-05-18T03:44:05.1824147Z 96d3bccf6538: Pull complete
2022-05-18T03:44:05.4108855Z 107c321d19a2: Pull complete
2022-05-18T03:44:05.6460951Z 3ccf25464642: Pull complete
2022-05-18T03:44:05.9002324Z fa3ebf277ea9: Pull complete
2022-05-18T03:44:06.1386761Z 1935fef7619d: Pull complete
2022-05-18T03:44:07.9178662Z 331c26ea1477: Verifying Checksum
2022-05-18T03:44:07.9179140Z 331c26ea1477: Download complete
2022-05-18T03:44:26.7560928Z 331c26ea1477: Pull complete
2022-05-18T03:44:27.0253417Z e4cda0fc8673: Pull complete
2022-05-18T03:44:27.3420040Z f5caab08bb2f: Pull complete
2022-05-18T03:44:27.4741366Z 7eb329fe1ce6: Pull complete
2022-05-18T03:44:27.6217324Z 68eaafdb90bf: Pull complete
2022-05-18T03:44:27.7860183Z 31f4af620806: Pull complete
2022-05-18T03:44:27.9329502Z 8e1863a602b4: Pull complete
2022-05-18T03:44:29.6478211Z a7e60a592bbb: Pull complete
2022-05-18T03:44:29.8336134Z a6c8bd4e962b: Pull complete
2022-05-18T03:44:29.9866066Z f861d57d1648: Pull complete
2022-05-18T03:44:30.2209754Z 4f44c93db860: Pull complete
2022-05-18T03:44:30.4451277Z dd5871d1c36a: Pull complete
2022-05-18T03:44:30.6365340Z f97ca7006c1d: Pull complete
2022-05-18T03:44:32.7452718Z 5958f3f57ebb: Pull complete
2022-05-18T03:44:32.9681305Z cc896b7c763f: Pull complete
2022-05-18T03:44:33.2042607Z 4d90629c62e5: Pull complete
2022-05-18T03:44:33.4093062Z 62d7f24cd0c0: Pull complete
2022-05-18T03:44:33.5942045Z 556f4872c25a: Pull complete
2022-05-18T03:44:33.7550515Z 8644ed03fabd: Pull complete
2022-05-18T03:44:33.9289617Z 35b4fdbe4c47: Pull complete
2022-05-18T03:44:34.1510307Z 00591ab8f97f: Pull complete
2022-05-18T03:44:34.3668828Z 77e0e94faedd: Pull complete
2022-05-18T03:44:34.6068655Z c529d886e6c7: Pull complete
2022-05-18T03:44:34.7802205Z 150fbc850fcc: Pull complete
2022-05-18T03:44:34.9670594Z 7b1ed51fd913: Pull complete
2022-05-18T03:44:35.1976215Z cee4d57d4aa5: Pull complete
2022-05-18T03:44:36.3825522Z 55968b489a45: Pull complete
2022-05-18T03:44:36.6294497Z b967ae37c78c: Pull complete
2022-05-18T03:44:36.7435994Z fde30d6d4d43: Pull complete
2022-05-18T03:44:36.8429250Z bd090ea062b4: Pull complete
2022-05-18T03:44:36.9402031Z 5e1909cb4b8e: Pull complete
2022-05-18T03:44:37.2253396Z 0bec253a9cc3: Pull complete
2022-05-18T03:44:37.3147283Z ef2fd506a049: Pull complete
2022-05-18T03:44:41.9080331Z dfcb54fdca09: Pull complete
2022-05-18T03:44:42.0115891Z 64dbe1372310: Pull complete
2022-05-18T03:44:42.1226617Z b159261a7639: Pull complete
2022-05-18T03:44:42.2277282Z 29e393060867: Pull complete
2022-05-18T03:44:43.8555769Z b578783d2730: Pull complete
2022-05-18T03:44:43.9850547Z Digest: sha256:f0635c9b511406df7a81da39cad50a8f06640f1c0550e4f7a93071523ad2effb
2022-05-18T03:44:44.0051643Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3-clang7-onnx:6deab82db6a72ca54cd3e3322ee4f13864536734
2022-05-18T03:44:44.0074569Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3-clang7-onnx:6deab82db6a72ca54cd3e3322ee4f13864536734
2022-05-18T03:44:44.0144918Z Prepare all required actions
2022-05-18T03:44:44.0145176Z Getting action download info
2022-05-18T03:44:44.1727749Z Download action repository 'seemethere/download-artifact-s3@v3' (SHA:64048a097659c8ca71ceacbb3c01cee9ed6f1b05)
2022-05-18T03:44:44.3307919Z Download action repository 'actions/download-artifact@v2' (SHA:f023be2c48cc18debc3bacd34cb396e0295e2869)
2022-05-18T03:44:44.4377295Z ##[group]Run ./.github/actions/download-build-artifacts
2022-05-18T03:44:44.4377530Z with:
2022-05-18T03:44:44.4377722Z   name: linux-xenial-py3.7-clang7-onnx
2022-05-18T03:44:44.4377932Z env:
2022-05-18T03:44:44.4378088Z   IN_CI: 1
2022-05-18T03:44:44.4378239Z   IS_GHA: 1
2022-05-18T03:44:44.4378427Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:44:44.4378620Z ##[endgroup]
2022-05-18T03:44:44.4401228Z ##[group]Run seemethere/download-artifact-s3@v3
2022-05-18T03:44:44.4401454Z with:
2022-05-18T03:44:44.4401661Z   name: linux-xenial-py3.7-clang7-onnx
2022-05-18T03:44:44.4401915Z   s3-bucket: gha-artifacts
2022-05-18T03:44:44.4402115Z   region: us-east-1
2022-05-18T03:44:44.4402275Z env:
2022-05-18T03:44:44.4402436Z   IN_CI: 1
2022-05-18T03:44:44.4402600Z   IS_GHA: 1
2022-05-18T03:44:44.4402776Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:44:44.4403157Z ##[endgroup]
2022-05-18T03:44:44.8477944Z Found 1 objects with prefix pytorch/pytorch/2342799944/1/linux-xenial-py3.7-clang7-onnx/
2022-05-18T03:44:44.8478683Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2022-05-18T03:44:51.6069907Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2022-05-18T03:44:51.6070313Z 
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2022-05-18T03:44:58.2796903Z   inflating: build/bin/test_api      
2022-05-18T03:44:58.3348731Z   inflating: build/bin/test_jit      
2022-05-18T03:44:58.3349166Z   inflating: .pytorch-test-times.json  
2022-05-18T03:44:58.3369487Z ##[group]Run df -H
2022-05-18T03:44:58.3369769Z df -H
2022-05-18T03:44:58.3380901Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T03:44:58.3381139Z env:
2022-05-18T03:44:58.3381307Z   IN_CI: 1
2022-05-18T03:44:58.3381462Z   IS_GHA: 1
2022-05-18T03:44:58.3381652Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:44:58.3381852Z ##[endgroup]
2022-05-18T03:44:58.3434800Z Filesystem      Size  Used Avail Use% Mounted on
2022-05-18T03:44:58.3435065Z devtmpfs        8.1G     0  8.1G   0% /dev
2022-05-18T03:44:58.3435282Z tmpfs           8.2G  3.6M  8.2G   1% /dev/shm
2022-05-18T03:44:58.3435497Z tmpfs           8.2G  410k  8.2G   1% /run
2022-05-18T03:44:58.3435727Z tmpfs           8.2G     0  8.2G   0% /sys/fs/cgroup
2022-05-18T03:44:58.3435951Z /dev/nvme0n1p1  162G   15G  147G   9% /
2022-05-18T03:44:58.3453643Z ##[group]Run .github/scripts/parse_ref.py
2022-05-18T03:44:58.3453905Z .github/scripts/parse_ref.py
2022-05-18T03:44:58.3464568Z shell: /usr/bin/bash -e {0}
2022-05-18T03:44:58.3464748Z env:
2022-05-18T03:44:58.3464926Z   IN_CI: 1
2022-05-18T03:44:58.3465096Z   IS_GHA: 1
2022-05-18T03:44:58.3465273Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:44:58.3465470Z ##[endgroup]
2022-05-18T03:44:58.3874760Z ##[group]Run set -x
2022-05-18T03:44:58.3875021Z set -x
2022-05-18T03:44:58.3875197Z 
2022-05-18T03:44:58.3875405Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2022-05-18T03:44:58.3875677Z   TEST_COMMAND=.jenkins/pytorch/multigpu-test.sh
2022-05-18T03:44:58.3875937Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2022-05-18T03:44:58.3876186Z   TEST_COMMAND=.jenkins/caffe2/test.sh
2022-05-18T03:44:58.3876392Z else
2022-05-18T03:44:58.3876593Z   TEST_COMMAND=.jenkins/pytorch/test.sh
2022-05-18T03:44:58.3876806Z fi
2022-05-18T03:44:58.3876973Z 
2022-05-18T03:44:58.3877214Z COMMIT_MESSAGES=$(git cherry -v "origin/${GIT_DEFAULT_BRANCH:-master}")
2022-05-18T03:44:58.3877489Z export COMMIT_MESSAGES
2022-05-18T03:44:58.3877689Z 
2022-05-18T03:44:58.3877918Z # detached container should get cleaned up by teardown_ec2_linux
2022-05-18T03:44:58.3878263Z # TODO: Stop building test binaries as part of the build phase
2022-05-18T03:44:58.3878553Z # Used for GPU_FLAG since that doesn't play nice
2022-05-18T03:44:58.3878794Z # shellcheck disable=SC2086,SC2090
2022-05-18T03:44:58.3879028Z container_name=$(docker run \
2022-05-18T03:44:58.3879238Z   ${GPU_FLAG:-} \
2022-05-18T03:44:58.3879434Z   -e BUILD_ENVIRONMENT \
2022-05-18T03:44:58.3879644Z   -e PR_NUMBER \
2022-05-18T03:44:58.3879868Z   -e CUSTOM_TEST_ARTIFACT_BUILD_DIR \
2022-05-18T03:44:58.3880081Z   -e GITHUB_ACTIONS \
2022-05-18T03:44:58.3880279Z   -e IN_CI \
2022-05-18T03:44:58.3880464Z   -e IS_GHA \
2022-05-18T03:44:58.3880638Z   -e BRANCH \
2022-05-18T03:44:58.3880820Z   -e SHA1 \
2022-05-18T03:44:58.3881022Z   -e AWS_DEFAULT_REGION \
2022-05-18T03:44:58.3881231Z   -e IN_WHEEL_TEST \
2022-05-18T03:44:58.3881422Z   -e SHARD_NUMBER \
2022-05-18T03:44:58.3881622Z   -e JOB_BASE_NAME \
2022-05-18T03:44:58.3881820Z   -e TEST_CONFIG \
2022-05-18T03:44:58.3882011Z   -e NUM_TEST_SHARDS \
2022-05-18T03:44:58.3882210Z   -e PR_BODY \
2022-05-18T03:44:58.3882409Z   -e COMMIT_MESSAGES \
2022-05-18T03:44:58.3882617Z   -e PYTORCH_RETRY_TEST_CASES \
2022-05-18T03:44:58.3882830Z   -e PR_LABELS \
2022-05-18T03:44:58.3883235Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2022-05-18T03:44:58.3883447Z   -e SCCACHE_BUCKET \
2022-05-18T03:44:58.3883644Z   -e XLA_CUDA \
2022-05-18T03:44:58.3883860Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2022-05-18T03:44:58.3884111Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2022-05-18T03:44:58.3884362Z   --ulimit stack=10485760:83886080 \
2022-05-18T03:44:58.3884739Z   --security-opt seccomp=unconfined \
2022-05-18T03:44:58.3884974Z   --cap-add=SYS_PTRACE \
2022-05-18T03:44:58.3885166Z   --ipc=host \
2022-05-18T03:44:58.3885371Z   --shm-size="${SHM_SIZE}" \
2022-05-18T03:44:58.3885568Z   --tty \
2022-05-18T03:44:58.3885738Z   --detach \
2022-05-18T03:44:58.3885944Z   --name="${container_name}" \
2022-05-18T03:44:58.3886151Z   --user jenkins \
2022-05-18T03:44:58.3886384Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2022-05-18T03:44:58.3886648Z   -w /var/lib/jenkins/workspace \
2022-05-18T03:44:58.3886865Z   "${DOCKER_IMAGE}"
2022-05-18T03:44:58.3887035Z )
2022-05-18T03:44:58.3887297Z docker exec -t "${container_name}" sh -c "pip install dist/*.whl && ${TEST_COMMAND}"
2022-05-18T03:44:58.3898419Z shell: /usr/bin/bash -e {0}
2022-05-18T03:44:58.3898646Z env:
2022-05-18T03:44:58.3898811Z   IN_CI: 1
2022-05-18T03:44:58.3898980Z   IS_GHA: 1
2022-05-18T03:44:58.3899167Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:44:58.3899490Z   BUILD_ENVIRONMENT: linux-xenial-py3.7-clang7-onnx
2022-05-18T03:44:58.3899736Z   PR_NUMBER: 
2022-05-18T03:44:58.3899915Z   BRANCH: master
2022-05-18T03:44:58.3900174Z   CUSTOM_TEST_ARTIFACT_BUILD_DIR: build/custom_test_artifacts
2022-05-18T03:44:58.3900440Z   SHA1: 3b2375291aab7b48442f2e6fb1ef66cebc761e24
2022-05-18T03:44:58.3900681Z   PYTORCH_RETRY_TEST_CASES: 1
2022-05-18T03:44:58.3900940Z   JOB_BASE_NAME: linux-xenial-py3.7-clang7-onnx-test
2022-05-18T03:44:58.3901174Z   TEST_CONFIG: default
2022-05-18T03:44:58.3901361Z   SHARD_NUMBER: 1
2022-05-18T03:44:58.3901546Z   NUM_TEST_SHARDS: 2
2022-05-18T03:44:58.3901713Z   PR_BODY: 
2022-05-18T03:44:58.3901955Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2022-05-18T03:44:58.3902193Z   SHM_SIZE: 1g
2022-05-18T03:44:58.3902569Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3-clang7-onnx:6deab82db6a72ca54cd3e3322ee4f13864536734
2022-05-18T03:44:58.3902960Z   XLA_CUDA: 
2022-05-18T03:44:58.3903316Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2022-05-18T03:44:58.3903624Z ##[endgroup]
2022-05-18T03:44:58.3928323Z + [[ default == \m\u\l\t\i\g\p\u ]]
2022-05-18T03:44:58.3928783Z + [[ linux-xenial-py3.7-clang7-onnx == *onnx* ]]
2022-05-18T03:44:58.3929048Z + TEST_COMMAND=.jenkins/caffe2/test.sh
2022-05-18T03:44:58.3932222Z ++ git cherry -v origin/master
2022-05-18T03:44:58.3958398Z + COMMIT_MESSAGES=
2022-05-18T03:44:58.3958627Z + export COMMIT_MESSAGES
2022-05-18T03:44:58.3965746Z +++ nproc --ignore=2
2022-05-18T03:44:58.3976041Z ++ 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-onnx:6deab82db6a72ca54cd3e3322ee4f13864536734
2022-05-18T03:45:09.0625452Z + container_name=c00b01469bec4e045b3995a93e489a3aabd6021890be10dc7b44b4967fde19db
2022-05-18T03:45:09.0626338Z + docker exec -t c00b01469bec4e045b3995a93e489a3aabd6021890be10dc7b44b4967fde19db sh -c 'pip install dist/*.whl && .jenkins/caffe2/test.sh'
2022-05-18T03:45:09.4580259Z Processing ./dist/torch-1.12.0a0+git3b23752-cp37-cp37m-linux_x86_64.whl
2022-05-18T03:45:09.5409012Z Requirement already satisfied: typing-extensions in /opt/conda/lib/python3.7/site-packages (from torch==1.12.0a0+git3b23752) (4.1.1)
2022-05-18T03:45:09.9311908Z Installing collected packages: torch
2022-05-18T03:45:16.7835930Z Successfully installed torch-1.12.0a0+git3b23752
2022-05-18T03:45:16.8431986Z ++++ dirname .jenkins/caffe2/common.sh
2022-05-18T03:45:16.8439543Z +++ cd .jenkins/caffe2
2022-05-18T03:45:16.8439961Z +++ pwd
2022-05-18T03:45:16.8441615Z ++ LOCAL_DIR=/var/lib/jenkins/workspace/.jenkins/caffe2
2022-05-18T03:45:16.8444890Z +++ cd /var/lib/jenkins/workspace/.jenkins/caffe2/../..
2022-05-18T03:45:16.8445138Z +++ pwd
2022-05-18T03:45:16.8446774Z ++ ROOT_DIR=/var/lib/jenkins/workspace
2022-05-18T03:45:16.8447089Z ++ TEST_DIR=/var/lib/jenkins/workspace/test
2022-05-18T03:45:16.8447624Z ++ gtest_reports_dir=/var/lib/jenkins/workspace/test/test-reports/cpp
2022-05-18T03:45:16.8448206Z ++ pytest_reports_dir=/var/lib/jenkins/workspace/test/test-reports/python
2022-05-18T03:45:16.8450392Z +++ which python
2022-05-18T03:45:16.8460226Z ++ PYTHON=/opt/conda/bin/python
2022-05-18T03:45:16.8460736Z ++ [[ linux-xenial-py3.7-clang7-onnx =~ py((2|3)\.?[0-9]?\.?[0-9]?) ]]
2022-05-18T03:45:16.8464024Z +++ which python3.7
2022-05-18T03:45:16.8473979Z ++ PYTHON=/opt/conda/bin/python3.7
2022-05-18T03:45:16.8474422Z ++ [[ linux-xenial-py3.7-clang7-onnx == *rocm* ]]
2022-05-18T03:45:16.8474730Z ++ INSTALL_PREFIX=/usr/local/caffe2
2022-05-18T03:45:16.8475131Z ++ mkdir -p /var/lib/jenkins/workspace/test/test-reports/cpp
2022-05-18T03:45:16.8484925Z ++ mkdir -p /var/lib/jenkins/workspace/test/test-reports/python
2022-05-18T03:45:16.8493089Z ++ mkdir -p /usr/local/caffe2
2022-05-18T03:45:16.8501282Z + [[ linux-xenial-py3.7-clang7-onnx == *onnx* ]]
2022-05-18T03:45:16.8501784Z + pip install click mock tabulate networkx==2.0
2022-05-18T03:45:17.1507601Z Requirement already satisfied: click in /opt/conda/lib/python3.7/site-packages (8.1.3)
2022-05-18T03:45:17.2091784Z Collecting mock
2022-05-18T03:45:17.2262394Z   Downloading mock-4.0.3-py3-none-any.whl (28 kB)
2022-05-18T03:45:17.2473395Z Collecting tabulate
2022-05-18T03:45:17.2512757Z   Downloading tabulate-0.8.9-py3-none-any.whl (25 kB)
2022-05-18T03:45:17.3113089Z Collecting networkx==2.0
2022-05-18T03:45:17.3238658Z   Downloading networkx-2.0.zip (1.5 MB)
2022-05-18T03:45:17.3242077Z [?25l
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2022-05-18T03:45:18.7353890Z [?25hRequirement already satisfied: decorator>=4.1.0 in /opt/conda/lib/python3.7/site-packages (from networkx==2.0) (5.1.1)
2022-05-18T03:45:18.7393185Z Requirement already satisfied: importlib-metadata in /opt/conda/lib/python3.7/site-packages (from click) (4.11.3)
2022-05-18T03:45:18.7614180Z Requirement already satisfied: zipp>=0.5 in /opt/conda/lib/python3.7/site-packages (from importlib-metadata->click) (3.8.0)
2022-05-18T03:45:18.7625194Z Requirement already satisfied: typing-extensions>=3.6.4 in /opt/conda/lib/python3.7/site-packages (from importlib-metadata->click) (4.1.1)
2022-05-18T03:45:18.7729712Z Building wheels for collected packages: networkx
2022-05-18T03:45:20.6969964Z   Building wheel for networkx (setup.py) ... [?25l- \ | / - \ | / done
2022-05-18T03:45:20.7014289Z [?25h  Created wheel for networkx: filename=networkx-2.0-py2.py3-none-any.whl size=1389993 sha256=719a1d0bfa638d1077c23c392633f3bfc3591909e5f2df23a445e9cb0c726436
2022-05-18T03:45:20.7014783Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/a8/51/49/73c72486a5600e541e926da7f6ddf3c9c5c2cb8470ce2275bc
2022-05-18T03:45:20.7070576Z Successfully built networkx
2022-05-18T03:45:21.0321039Z Installing collected packages: tabulate, networkx, mock
2022-05-18T03:45:21.0543838Z   Attempting uninstall: networkx
2022-05-18T03:45:21.0548609Z     Found existing installation: networkx 2.6.3
2022-05-18T03:45:21.2061873Z     Uninstalling networkx-2.6.3:
2022-05-18T03:45:21.3740702Z       Successfully uninstalled networkx-2.6.3
2022-05-18T03:45:22.0564669Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
2022-05-18T03:45:22.0565262Z scikit-image 0.19.2 requires networkx>=2.2, but you have networkx 2.0 which is incompatible.
2022-05-18T03:45:22.0565692Z Successfully installed mock-4.0.3 networkx-2.0 tabulate-0.8.9
2022-05-18T03:45:22.1455417Z + pip -q install --user file:///var/lib/jenkins/workspace/third_party/onnx#egg=onnx
2022-05-18T03:45:22.4482009Z   DEPRECATION: A future pip version will change local packages to be built in-place without first copying to a temporary directory. We recommend you use --use-feature=in-tree-build to test your packages with this new behavior before it becomes the default.
2022-05-18T03:45:22.4483668Z    pip 21.3 will remove support for this functionality. You can find discussion regarding this at https://github.com/pypa/pip/issues/7555.
2022-05-18T03:46:23.4554794Z   WARNING: The scripts backend-test-tools, check-model and check-node are installed in '/var/lib/jenkins/.local/bin' which is not on PATH.
2022-05-18T03:46:23.4555417Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2022-05-18T03:46:23.8485229Z + [[ linux-xenial-py3.7-clang7-onnx == *-android* ]]
2022-05-18T03:46:23.8485621Z + [[ linux-xenial-py3.7-clang7-onnx == *-rocm* ]]
2022-05-18T03:46:23.8485966Z + [[ linux-xenial-py3.7-clang7-onnx == *rocm* ]]
2022-05-18T03:46:23.8486300Z + [[ linux-xenial-py3.7-clang7-onnx == *cmake* ]]
2022-05-18T03:46:23.8493331Z ++++ cd /usr
2022-05-18T03:46:23.8493865Z ++++ /opt/conda/bin/python3.7 -c 'import os; import caffe2; print(os.path.realpath(caffe2.__file__))'
2022-05-18T03:46:24.5113788Z +++ dirname /opt/conda/lib/python3.7/site-packages/caffe2/__init__.py
2022-05-18T03:46:24.5120916Z ++ dirname /opt/conda/lib/python3.7/site-packages/caffe2
2022-05-18T03:46:24.5126505Z + python_installation=/opt/conda/lib/python3.7/site-packages
2022-05-18T03:46:24.5126990Z + caffe2_pypath=/opt/conda/lib/python3.7/site-packages/caffe2
2022-05-18T03:46:24.5127534Z + cpp_test_dir=/opt/conda/lib/python3.7/site-packages/torch/test
2022-05-18T03:46:24.5128006Z + ld_library_path=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:24.5128375Z + [[ 1 == \1 ]]
2022-05-18T03:46:24.5128613Z + echo 'Running C++ tests..'
2022-05-18T03:46:24.5129065Z Running C++ tests..
2022-05-18T03:46:24.5131931Z ++ find /opt/conda/lib/python3.7/site-packages/torch/test -executable -type f
2022-05-18T03:46:24.5147016Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:24.5147259Z + case "$test" in
2022-05-18T03:46:24.5149640Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/AlgorithmsTest
2022-05-18T03:46:24.5155129Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:24.5156091Z + /opt/conda/lib/python3.7/site-packages/torch/test/AlgorithmsTest --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/AlgorithmsTest.xml
2022-05-18T03:46:24.6884769Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:24.6885504Z [==========] Running 4 tests from 2 test suites.
2022-05-18T03:46:24.6886030Z [----------] Global test environment set-up.
2022-05-18T03:46:24.6886626Z [----------] 2 tests from DominatorTree
2022-05-18T03:46:24.6887144Z [ RUN      ] DominatorTree.Test1
2022-05-18T03:46:24.6887661Z [       OK ] DominatorTree.Test1 (0 ms)
2022-05-18T03:46:24.6888099Z [ RUN      ] DominatorTree.Test2
2022-05-18T03:46:24.6888555Z [       OK ] DominatorTree.Test2 (0 ms)
2022-05-18T03:46:24.6889054Z [----------] 2 tests from DominatorTree (0 ms total)
2022-05-18T03:46:24.6889300Z 
2022-05-18T03:46:24.6889538Z [----------] 2 tests from Subgraph
2022-05-18T03:46:24.6889987Z [ RUN      ] Subgraph.InduceEdges
2022-05-18T03:46:24.6890463Z [       OK ] Subgraph.InduceEdges (0 ms)
2022-05-18T03:46:24.6890946Z [ RUN      ] Subgraph.InduceEdgesCycle
2022-05-18T03:46:24.6891440Z [       OK ] Subgraph.InduceEdgesCycle (0 ms)
2022-05-18T03:46:24.6891956Z [----------] 2 tests from Subgraph (0 ms total)
2022-05-18T03:46:24.6892171Z 
2022-05-18T03:46:24.6892416Z [----------] Global test environment tear-down
2022-05-18T03:46:24.6892872Z [==========] 4 tests from 2 test suites ran. (0 ms total)
2022-05-18T03:46:24.6893227Z [  PASSED  ] 4 tests.
2022-05-18T03:46:24.7318402Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:24.7318701Z + case "$test" in
2022-05-18T03:46:24.7321086Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/BinaryMatchImplTest
2022-05-18T03:46:24.7326804Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:24.7327363Z + /opt/conda/lib/python3.7/site-packages/torch/test/BinaryMatchImplTest --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/BinaryMatchImplTest.xml
2022-05-18T03:46:24.9039429Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:24.9039871Z [==========] Running 5 tests from 1 test suite.
2022-05-18T03:46:24.9040403Z [----------] Global test environment set-up.
2022-05-18T03:46:24.9041437Z [----------] 5 tests from BinaryMatch
2022-05-18T03:46:24.9041900Z [ RUN      ] BinaryMatch.NoMatch
2022-05-18T03:46:24.9042335Z [       OK ] BinaryMatch.NoMatch (0 ms)
2022-05-18T03:46:24.9042640Z [ RUN      ] BinaryMatch.AllMatch
2022-05-18T03:46:24.9043102Z [       OK ] BinaryMatch.AllMatch (0 ms)
2022-05-18T03:46:24.9043412Z [ RUN      ] BinaryMatch.EmptyGraph
2022-05-18T03:46:24.9043724Z [       OK ] BinaryMatch.EmptyGraph (0 ms)
2022-05-18T03:46:24.9044004Z [ RUN      ] BinaryMatch.Basic
2022-05-18T03:46:24.9044285Z [       OK ] BinaryMatch.Basic (0 ms)
2022-05-18T03:46:24.9044599Z [ RUN      ] BinaryMatch.RemovedMiddleNode
2022-05-18T03:46:24.9044944Z [       OK ] BinaryMatch.RemovedMiddleNode (0 ms)
2022-05-18T03:46:24.9047233Z [----------] 5 tests from BinaryMatch (0 ms total)
2022-05-18T03:46:24.9047519Z 
2022-05-18T03:46:24.9048025Z [----------] Global test environment tear-down
2022-05-18T03:46:24.9048517Z [==========] 5 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:46:24.9048793Z [  PASSED  ] 5 tests.
2022-05-18T03:46:24.9454257Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:24.9454643Z + case "$test" in
2022-05-18T03:46:24.9456088Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/CppSignature_test
2022-05-18T03:46:24.9461362Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:24.9484443Z + /opt/conda/lib/python3.7/site-packages/torch/test/CppSignature_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/CppSignature_test.xml
2022-05-18T03:46:25.1172876Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:25.1173776Z [==========] Running 5 tests from 1 test suite.
2022-05-18T03:46:25.1174643Z [----------] Global test environment set-up.
2022-05-18T03:46:25.1174989Z [----------] 5 tests from CppSignatureTest
2022-05-18T03:46:25.1175469Z [ RUN      ] CppSignatureTest.given_equalSignature_then_areEqual
2022-05-18T03:46:25.1176161Z [       OK ] CppSignatureTest.given_equalSignature_then_areEqual (0 ms)
2022-05-18T03:46:25.1176578Z [ RUN      ] CppSignatureTest.given_differentSignature_then_areDifferent
2022-05-18T03:46:25.1177002Z [       OK ] CppSignatureTest.given_differentSignature_then_areDifferent (0 ms)
2022-05-18T03:46:25.1177438Z [ RUN      ] CppSignatureTest.given_equalFunctorAndFunction_then_areEqual
2022-05-18T03:46:25.1177877Z [       OK ] CppSignatureTest.given_equalFunctorAndFunction_then_areEqual (0 ms)
2022-05-18T03:46:25.1178330Z [ RUN      ] CppSignatureTest.given_differentFunctorAndFunction_then_areDifferent
2022-05-18T03:46:25.1178798Z [       OK ] CppSignatureTest.given_differentFunctorAndFunction_then_areDifferent (0 ms)
2022-05-18T03:46:25.1179263Z [ RUN      ] CppSignatureTest.given_cppSignature_then_canQueryNameWithoutCrashing
2022-05-18T03:46:25.1179740Z [       OK ] CppSignatureTest.given_cppSignature_then_canQueryNameWithoutCrashing (0 ms)
2022-05-18T03:46:25.1180163Z [----------] 5 tests from CppSignatureTest (0 ms total)
2022-05-18T03:46:25.1180321Z 
2022-05-18T03:46:25.1180496Z [----------] Global test environment tear-down
2022-05-18T03:46:25.1180827Z [==========] 5 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:46:25.1181093Z [  PASSED  ] 5 tests.
2022-05-18T03:46:25.1604513Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:25.1604959Z + case "$test" in
2022-05-18T03:46:25.1606949Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/Dict_test
2022-05-18T03:46:25.1612732Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:25.1613806Z + /opt/conda/lib/python3.7/site-packages/torch/test/Dict_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/Dict_test.xml
2022-05-18T03:46:25.3316654Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:25.3317418Z [==========] Running 47 tests from 2 test suites.
2022-05-18T03:46:25.3318012Z [----------] Global test environment set-up.
2022-05-18T03:46:25.3318455Z [----------] 46 tests from DictTest
2022-05-18T03:46:25.3319054Z [ RUN      ] DictTest.givenEmptyDict_whenCallingEmpty_thenReturnsTrue
2022-05-18T03:46:25.3319733Z [       OK ] DictTest.givenEmptyDict_whenCallingEmpty_thenReturnsTrue (0 ms)
2022-05-18T03:46:25.3320431Z [ RUN      ] DictTest.givenNonemptyDict_whenCallingEmpty_thenReturnsFalse
2022-05-18T03:46:25.3321179Z [       OK ] DictTest.givenNonemptyDict_whenCallingEmpty_thenReturnsFalse (0 ms)
2022-05-18T03:46:25.3321809Z [ RUN      ] DictTest.givenEmptyDict_whenCallingSize_thenReturnsZero
2022-05-18T03:46:25.3322852Z [       OK ] DictTest.givenEmptyDict_whenCallingSize_thenReturnsZero (0 ms)
2022-05-18T03:46:25.3323678Z [ RUN      ] DictTest.givenNonemptyDict_whenCallingSize_thenReturnsNumberOfElements
2022-05-18T03:46:25.3324426Z [       OK ] DictTest.givenNonemptyDict_whenCallingSize_thenReturnsNumberOfElements (0 ms)
2022-05-18T03:46:25.3325110Z [ RUN      ] DictTest.givenNonemptyDict_whenCallingClear_thenIsEmpty
2022-05-18T03:46:25.3325610Z [       OK ] DictTest.givenNonemptyDict_whenCallingClear_thenIsEmpty (0 ms)
2022-05-18T03:46:25.3326480Z [ RUN      ] DictTest.whenInsertingNewKey_thenReturnsTrueAndIteratorToNewElement
2022-05-18T03:46:25.3327051Z [       OK ] DictTest.whenInsertingNewKey_thenReturnsTrueAndIteratorToNewElement (0 ms)
2022-05-18T03:46:25.3327904Z [ RUN      ] DictTest.whenInsertingExistingKey_thenReturnsFalseAndIteratorToExistingElement
2022-05-18T03:46:25.3328621Z [       OK ] DictTest.whenInsertingExistingKey_thenReturnsFalseAndIteratorToExistingElement (0 ms)
2022-05-18T03:46:25.3329119Z [ RUN      ] DictTest.whenInsertingExistingKey_thenDoesNotModifyDict
2022-05-18T03:46:25.3329560Z [       OK ] DictTest.whenInsertingExistingKey_thenDoesNotModifyDict (0 ms)
2022-05-18T03:46:25.3330059Z [ RUN      ] DictTest.whenInsertOrAssigningNewKey_thenReturnsTrueAndIteratorToNewElement
2022-05-18T03:46:25.3330601Z [       OK ] DictTest.whenInsertOrAssigningNewKey_thenReturnsTrueAndIteratorToNewElement (0 ms)
2022-05-18T03:46:25.3331184Z [ RUN      ] DictTest.whenInsertOrAssigningExistingKey_thenReturnsFalseAndIteratorToChangedElement
2022-05-18T03:46:25.3332045Z [       OK ] DictTest.whenInsertOrAssigningExistingKey_thenReturnsFalseAndIteratorToChangedElement (0 ms)
2022-05-18T03:46:25.3332948Z [ RUN      ] DictTest.whenInsertOrAssigningExistingKey_thenDoesModifyDict
2022-05-18T03:46:25.3333798Z [       OK ] DictTest.whenInsertOrAssigningExistingKey_thenDoesModifyDict (0 ms)
2022-05-18T03:46:25.3334638Z [ RUN      ] DictTest.givenEmptyDict_whenIterating_thenBeginIsEnd
2022-05-18T03:46:25.3335173Z [       OK ] DictTest.givenEmptyDict_whenIterating_thenBeginIsEnd (0 ms)
2022-05-18T03:46:25.3335595Z [ RUN      ] DictTest.givenMutableDict_whenIterating_thenFindsElements
2022-05-18T03:46:25.3336008Z [       OK ] DictTest.givenMutableDict_whenIterating_thenFindsElements (0 ms)
2022-05-18T03:46:25.3336457Z [ RUN      ] DictTest.givenMutableDict_whenIteratingWithForeach_thenFindsElements
2022-05-18T03:46:25.3336936Z [       OK ] DictTest.givenMutableDict_whenIteratingWithForeach_thenFindsElements (0 ms)
2022-05-18T03:46:25.3337360Z [ RUN      ] DictTest.givenConstDict_whenIterating_thenFindsElements
2022-05-18T03:46:25.3337904Z [       OK ] DictTest.givenConstDict_whenIterating_thenFindsElements (0 ms)
2022-05-18T03:46:25.3338349Z [ RUN      ] DictTest.givenConstDict_whenIteratingWithForeach_thenFindsElements
2022-05-18T03:46:25.3338817Z [       OK ] DictTest.givenConstDict_whenIteratingWithForeach_thenFindsElements (0 ms)
2022-05-18T03:46:25.3339213Z [ RUN      ] DictTest.givenIterator_thenCanModifyValue
2022-05-18T03:46:25.3339589Z [       OK ] DictTest.givenIterator_thenCanModifyValue (0 ms)
2022-05-18T03:46:25.3340016Z [ RUN      ] DictTest.givenOneElementDict_whenErasingByIterator_thenDictIsEmpty
2022-05-18T03:46:25.3340480Z [       OK ] DictTest.givenOneElementDict_whenErasingByIterator_thenDictIsEmpty (0 ms)
2022-05-18T03:46:25.3340967Z [ RUN      ] DictTest.givenOneElementDict_whenErasingByKey_thenReturnsOneAndDictIsEmpty
2022-05-18T03:46:25.3341475Z [       OK ] DictTest.givenOneElementDict_whenErasingByKey_thenReturnsOneAndDictIsEmpty (0 ms)
2022-05-18T03:46:25.3342025Z [ RUN      ] DictTest.givenOneElementDict_whenErasingByNonexistingKey_thenReturnsZeroAndDictIsUnchanged
2022-05-18T03:46:25.3342648Z [       OK ] DictTest.givenOneElementDict_whenErasingByNonexistingKey_thenReturnsZeroAndDictIsUnchanged (0 ms)
2022-05-18T03:46:25.3343178Z [ RUN      ] DictTest.whenCallingAtWithExistingKey_thenReturnsCorrectElement
2022-05-18T03:46:25.3343663Z [       OK ] DictTest.whenCallingAtWithExistingKey_thenReturnsCorrectElement (0 ms)
2022-05-18T03:46:25.3344151Z [ RUN      ] DictTest.whenCallingAtWithNonExistingKey_thenReturnsCorrectElement
2022-05-18T03:46:25.3344644Z [       OK ] DictTest.whenCallingAtWithNonExistingKey_thenReturnsCorrectElement (0 ms)
2022-05-18T03:46:25.3345236Z [ RUN      ] DictTest.givenMutableDict_whenCallingFindOnExistingKey_thenFindsCorrectElement
2022-05-18T03:46:25.3345762Z [       OK ] DictTest.givenMutableDict_whenCallingFindOnExistingKey_thenFindsCorrectElement (0 ms)
2022-05-18T03:46:25.3346261Z [ RUN      ] DictTest.givenMutableDict_whenCallingFindOnNonExistingKey_thenReturnsEnd
2022-05-18T03:46:25.3346762Z [       OK ] DictTest.givenMutableDict_whenCallingFindOnNonExistingKey_thenReturnsEnd (0 ms)
2022-05-18T03:46:25.3347260Z [ RUN      ] DictTest.givenConstDict_whenCallingFindOnExistingKey_thenFindsCorrectElement
2022-05-18T03:46:25.3347779Z [       OK ] DictTest.givenConstDict_whenCallingFindOnExistingKey_thenFindsCorrectElement (0 ms)
2022-05-18T03:46:25.3348258Z [ RUN      ] DictTest.givenConstDict_whenCallingFindOnNonExistingKey_thenReturnsEnd
2022-05-18T03:46:25.3348746Z [       OK ] DictTest.givenConstDict_whenCallingFindOnNonExistingKey_thenReturnsEnd (0 ms)
2022-05-18T03:46:25.3349215Z [ RUN      ] DictTest.whenCallingContainsWithExistingKey_thenReturnsTrue
2022-05-18T03:46:25.3349690Z [       OK ] DictTest.whenCallingContainsWithExistingKey_thenReturnsTrue (0 ms)
2022-05-18T03:46:25.3350161Z [ RUN      ] DictTest.whenCallingContainsWithNonExistingKey_thenReturnsFalse
2022-05-18T03:46:25.3350660Z [       OK ] DictTest.whenCallingContainsWithNonExistingKey_thenReturnsFalse (0 ms)
2022-05-18T03:46:25.3351092Z [ RUN      ] DictTest.whenCallingReserve_thenDoesntCrash
2022-05-18T03:46:25.3351468Z [       OK ] DictTest.whenCallingReserve_thenDoesntCrash (0 ms)
2022-05-18T03:46:25.3351857Z [ RUN      ] DictTest.whenCopyConstructingDict_thenAreEqual
2022-05-18T03:46:25.3352264Z [       OK ] DictTest.whenCopyConstructingDict_thenAreEqual (0 ms)
2022-05-18T03:46:25.3352656Z [ RUN      ] DictTest.whenCopyAssigningDict_thenAreEqual
2022-05-18T03:46:25.3353030Z [       OK ] DictTest.whenCopyAssigningDict_thenAreEqual (0 ms)
2022-05-18T03:46:25.3353397Z [ RUN      ] DictTest.whenCopyingDict_thenAreEqual
2022-05-18T03:46:25.3356460Z [       OK ] DictTest.whenCopyingDict_thenAreEqual (0 ms)
2022-05-18T03:46:25.3357180Z [ RUN      ] DictTest.whenMoveConstructingDict_thenNewIsCorrect
2022-05-18T03:46:25.3357850Z [       OK ] DictTest.whenMoveConstructingDict_thenNewIsCorrect (0 ms)
2022-05-18T03:46:25.3358443Z [ RUN      ] DictTest.whenMoveAssigningDict_thenNewIsCorrect
2022-05-18T03:46:25.3359025Z [       OK ] DictTest.whenMoveAssigningDict_thenNewIsCorrect (0 ms)
2022-05-18T03:46:25.3359620Z [ RUN      ] DictTest.whenMoveConstructingDict_thenOldIsUnchanged
2022-05-18T03:46:25.3360249Z [       OK ] DictTest.whenMoveConstructingDict_thenOldIsUnchanged (0 ms)
2022-05-18T03:46:25.3360849Z [ RUN      ] DictTest.whenMoveAssigningDict_thenOldIsUnchanged
2022-05-18T03:46:25.3361444Z [       OK ] DictTest.whenMoveAssigningDict_thenOldIsUnchanged (0 ms)
2022-05-18T03:46:25.3362163Z [ RUN      ] DictTest.givenIterator_whenPostfixIncrementing_thenMovesToNextAndReturnsOldPosition
2022-05-18T03:46:25.3363275Z [       OK ] DictTest.givenIterator_whenPostfixIncrementing_thenMovesToNextAndReturnsOldPosition (0 ms)
2022-05-18T03:46:25.3364221Z [ RUN      ] DictTest.givenIterator_whenPrefixIncrementing_thenMovesToNextAndReturnsNewPosition
2022-05-18T03:46:25.3365020Z [       OK ] DictTest.givenIterator_whenPrefixIncrementing_thenMovesToNextAndReturnsNewPosition (0 ms)
2022-05-18T03:46:25.3365672Z [ RUN      ] DictTest.givenEqualIterators_thenAreEqual
2022-05-18T03:46:25.3366237Z [       OK ] DictTest.givenEqualIterators_thenAreEqual (0 ms)
2022-05-18T03:46:25.3366817Z [ RUN      ] DictTest.givenDifferentIterators_thenAreNotEqual
2022-05-18T03:46:25.3367448Z [       OK ] DictTest.givenDifferentIterators_thenAreNotEqual (0 ms)
2022-05-18T03:46:25.3368115Z [ RUN      ] DictTest.givenIterator_whenDereferencing_thenPointsToCorrectElement
2022-05-18T03:46:25.3368840Z [       OK ] DictTest.givenIterator_whenDereferencing_thenPointsToCorrectElement (0 ms)
2022-05-18T03:46:25.3369505Z [ RUN      ] DictTest.givenIterator_whenWritingToValue_thenChangesValue
2022-05-18T03:46:25.3370176Z [       OK ] DictTest.givenIterator_whenWritingToValue_thenChangesValue (0 ms)
2022-05-18T03:46:25.3370707Z [ RUN      ] DictTest.isReferenceType
2022-05-18T03:46:25.3371166Z [       OK ] DictTest.isReferenceType (0 ms)
2022-05-18T03:46:25.3371670Z [ RUN      ] DictTest.copyHasSeparateStorage
2022-05-18T03:46:25.3372208Z [       OK ] DictTest.copyHasSeparateStorage (0 ms)
2022-05-18T03:46:25.3372709Z [ RUN      ] DictTest.dictTensorAsKey
2022-05-18T03:46:25.3373167Z [       OK ] DictTest.dictTensorAsKey (0 ms)
2022-05-18T03:46:25.3373616Z [ RUN      ] DictTest.dictEquality
2022-05-18T03:46:25.3374076Z [       OK ] DictTest.dictEquality (0 ms)
2022-05-18T03:46:25.3374558Z [----------] 46 tests from DictTest (0 ms total)
2022-05-18T03:46:25.3374807Z 
2022-05-18T03:46:25.3375085Z [----------] 1 test from ListTest_IValueBasedList
2022-05-18T03:46:25.3375787Z [ RUN      ] ListTest_IValueBasedList.givenIterator_whenWritingToValueFromIterator_thenChangesValue
2022-05-18T03:46:25.3376623Z [       OK ] ListTest_IValueBasedList.givenIterator_whenWritingToValueFromIterator_thenChangesValue (0 ms)
2022-05-18T03:46:25.3377305Z [----------] 1 test from ListTest_IValueBasedList (0 ms total)
2022-05-18T03:46:25.3377568Z 
2022-05-18T03:46:25.3377828Z [----------] Global test environment tear-down
2022-05-18T03:46:25.3378318Z [==========] 47 tests from 2 test suites ran. (1 ms total)
2022-05-18T03:46:25.3378710Z [  PASSED  ] 47 tests.
2022-05-18T03:46:25.3737937Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:25.3738200Z + case "$test" in
2022-05-18T03:46:25.3740902Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/Dimname_test
2022-05-18T03:46:25.3746617Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:25.3747496Z + /opt/conda/lib/python3.7/site-packages/torch/test/Dimname_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/Dimname_test.xml
2022-05-18T03:46:25.5451813Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:25.5452640Z [==========] Running 4 tests from 1 test suite.
2022-05-18T03:46:25.5453197Z [----------] Global test environment set-up.
2022-05-18T03:46:25.5453748Z [----------] 4 tests from DimnameTest
2022-05-18T03:46:25.5454285Z [ RUN      ] DimnameTest.isValidIdentifier
2022-05-18T03:46:25.5454872Z [       OK ] DimnameTest.isValidIdentifier (0 ms)
2022-05-18T03:46:25.5455391Z [ RUN      ] DimnameTest.wildcardName
2022-05-18T03:46:25.5455933Z [       OK ] DimnameTest.wildcardName (0 ms)
2022-05-18T03:46:25.5456414Z [ RUN      ] DimnameTest.createNormalName
2022-05-18T03:46:25.5464374Z [       OK ] DimnameTest.createNormalName (1 ms)
2022-05-18T03:46:25.5465333Z [ RUN      ] DimnameTest.unifyAndMatch
2022-05-18T03:46:25.5465944Z [       OK ] DimnameTest.unifyAndMatch (0 ms)
2022-05-18T03:46:25.5466444Z [----------] 4 tests from DimnameTest (1 ms total)
2022-05-18T03:46:25.5466690Z 
2022-05-18T03:46:25.5466957Z [----------] Global test environment tear-down
2022-05-18T03:46:25.5467486Z [==========] 4 tests from 1 test suite ran. (1 ms total)
2022-05-18T03:46:25.5467928Z [  PASSED  ] 4 tests.
2022-05-18T03:46:25.5870082Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:25.5870428Z + case "$test" in
2022-05-18T03:46:25.5871963Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/GraphTest
2022-05-18T03:46:25.5878410Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:25.5878942Z + /opt/conda/lib/python3.7/site-packages/torch/test/GraphTest --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/GraphTest.xml
2022-05-18T03:46:25.7582582Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:25.7583318Z [==========] Running 8 tests from 1 test suite.
2022-05-18T03:46:25.7583864Z [----------] Global test environment set-up.
2022-05-18T03:46:25.7584321Z [----------] 8 tests from Basic
2022-05-18T03:46:25.7584805Z [ RUN      ] Basic.CreateNodeAndEdge
2022-05-18T03:46:25.7585418Z [       OK ] Basic.CreateNodeAndEdge (0 ms)
2022-05-18T03:46:25.7585920Z [ RUN      ] Basic.DeleteNode
2022-05-18T03:46:25.7586385Z [       OK ] Basic.DeleteNode (0 ms)
2022-05-18T03:46:25.7586837Z [ RUN      ] Basic.DeleteEdge
2022-05-18T03:46:25.7587160Z [       OK ] Basic.DeleteEdge (0 ms)
2022-05-18T03:46:25.7587504Z [ RUN      ] Basic.ReplaceEdges
2022-05-18T03:46:25.7588017Z [       OK ] Basic.ReplaceEdges (0 ms)
2022-05-18T03:46:25.7588448Z [ RUN      ] Basic.HasNode
2022-05-18T03:46:25.7588719Z [       OK ] Basic.HasNode (0 ms)
2022-05-18T03:46:25.7588957Z [ RUN      ] Basic.Moves
2022-05-18T03:46:25.7589209Z [       OK ] Basic.Moves (0 ms)
2022-05-18T03:46:25.7589473Z [ RUN      ] Basic.MoveSubgraph
2022-05-18T03:46:25.7589744Z [       OK ] Basic.MoveSubgraph (0 ms)
2022-05-18T03:46:25.7590023Z [ RUN      ] Basic.DotGenerator
2022-05-18T03:46:25.7590303Z [       OK ] Basic.DotGenerator (0 ms)
2022-05-18T03:46:25.7590593Z [----------] 8 tests from Basic (0 ms total)
2022-05-18T03:46:25.7590744Z 
2022-05-18T03:46:25.7590919Z [----------] Global test environment tear-down
2022-05-18T03:46:25.7591241Z [==========] 8 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:46:25.7591506Z [  PASSED  ] 8 tests.
2022-05-18T03:46:25.7983781Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:25.7984440Z + case "$test" in
2022-05-18T03:46:25.7987337Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/IListRef_test
2022-05-18T03:46:25.8044062Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:25.8044671Z + /opt/conda/lib/python3.7/site-packages/torch/test/IListRef_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/IListRef_test.xml
2022-05-18T03:46:25.9723626Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:25.9724339Z [==========] Running 21 tests from 3 test suites.
2022-05-18T03:46:25.9724901Z [----------] Global test environment set-up.
2022-05-18T03:46:25.9725475Z [----------] 12 tests from ITensorListRefTest
2022-05-18T03:46:25.9726065Z [ RUN      ] ITensorListRefTest.CtorEmpty_IsNone_Throws
2022-05-18T03:46:25.9726743Z [       OK ] ITensorListRefTest.CtorEmpty_IsNone_Throws (0 ms)
2022-05-18T03:46:25.9727445Z [ RUN      ] ITensorListRefTest.CtorBoxed_IsBoxed
2022-05-18T03:46:25.9728364Z [       OK ] ITensorListRefTest.CtorBoxed_IsBoxed (0 ms)
2022-05-18T03:46:25.9729015Z [ RUN      ] ITensorListRefTest.CtorUnboxed_IsUnboxed
2022-05-18T03:46:25.9729673Z [       OK ] ITensorListRefTest.CtorUnboxed_IsUnboxed (0 ms)
2022-05-18T03:46:25.9730367Z [ RUN      ] ITensorListRefTest.CtorUnboxedIndirect_IsUnboxed
2022-05-18T03:46:25.9731029Z [       OK ] ITensorListRefTest.CtorUnboxedIndirect_IsUnboxed (0 ms)
2022-05-18T03:46:25.9731628Z [ RUN      ] ITensorListRefTest.CtorTemp_IsUnboxed
2022-05-18T03:46:25.9732244Z [       OK ] ITensorListRefTest.CtorTemp_IsUnboxed (0 ms)
2022-05-18T03:46:25.9732917Z [ RUN      ] ITensorListRefTest.Boxed_GetConstRefTensor
2022-05-18T03:46:25.9733675Z [       OK ] ITensorListRefTest.Boxed_GetConstRefTensor (0 ms)
2022-05-18T03:46:25.9734394Z [ RUN      ] ITensorListRefTest.Unboxed_GetConstRefTensor
2022-05-18T03:46:25.9735126Z [       OK ] ITensorListRefTest.Unboxed_GetConstRefTensor (0 ms)
2022-05-18T03:46:25.9735764Z [ RUN      ] ITensorListRefTest.Boxed_Equal
2022-05-18T03:46:25.9736382Z [       OK ] ITensorListRefTest.Boxed_Equal (0 ms)
2022-05-18T03:46:25.9737004Z [ RUN      ] ITensorListRefTest.Unboxed_Equal
2022-05-18T03:46:25.9737644Z [       OK ] ITensorListRefTest.Unboxed_Equal (0 ms)
2022-05-18T03:46:25.9738311Z [ RUN      ] ITensorListRefTest.UnboxedIndirect_Equal
2022-05-18T03:46:25.9738935Z [       OK ] ITensorListRefTest.UnboxedIndirect_Equal (0 ms)
2022-05-18T03:46:25.9739543Z [ RUN      ] ITensorListRefTest.BoxedMaterialize_Equal
2022-05-18T03:46:25.9740159Z [       OK ] ITensorListRefTest.BoxedMaterialize_Equal (0 ms)
2022-05-18T03:46:25.9740821Z [ RUN      ] ITensorListRefTest.UnboxedMaterialize_Equal
2022-05-18T03:46:25.9741516Z [       OK ] ITensorListRefTest.UnboxedMaterialize_Equal (0 ms)
2022-05-18T03:46:25.9742158Z [----------] 12 tests from ITensorListRefTest (0 ms total)
2022-05-18T03:46:25.9742419Z 
2022-05-18T03:46:25.9742727Z [----------] 7 tests from ITensorListRefIteratorTest
2022-05-18T03:46:25.9743249Z [ RUN      ] ITensorListRefIteratorTest.CtorEmpty_ThrowsError
2022-05-18T03:46:25.9743806Z [       OK ] ITensorListRefIteratorTest.CtorEmpty_ThrowsError (0 ms)
2022-05-18T03:46:25.9744324Z [ RUN      ] ITensorListRefIteratorTest.Boxed_GetFirstElement
2022-05-18T03:46:25.9744871Z [       OK ] ITensorListRefIteratorTest.Boxed_GetFirstElement (0 ms)
2022-05-18T03:46:25.9745565Z [ RUN      ] ITensorListRefIteratorTest.Unboxed_GetFirstElement
2022-05-18T03:46:25.9746232Z [       OK ] ITensorListRefIteratorTest.Unboxed_GetFirstElement (0 ms)
2022-05-18T03:46:25.9746835Z [ RUN      ] ITensorListRefIteratorTest.Boxed_Equality
2022-05-18T03:46:25.9747540Z [       OK ] ITensorListRefIteratorTest.Boxed_Equality (0 ms)
2022-05-18T03:46:25.9748063Z [ RUN      ] ITensorListRefIteratorTest.Unboxed_Equality
2022-05-18T03:46:25.9748580Z [       OK ] ITensorListRefIteratorTest.Unboxed_Equality (0 ms)
2022-05-18T03:46:25.9749091Z [ RUN      ] ITensorListRefIteratorTest.Boxed_Iterate
2022-05-18T03:46:25.9749604Z [       OK ] ITensorListRefIteratorTest.Boxed_Iterate (0 ms)
2022-05-18T03:46:25.9750098Z [ RUN      ] ITensorListRefIteratorTest.Unboxed_Iterate
2022-05-18T03:46:25.9750625Z [       OK ] ITensorListRefIteratorTest.Unboxed_Iterate (0 ms)
2022-05-18T03:46:25.9751184Z [----------] 7 tests from ITensorListRefIteratorTest (0 ms total)
2022-05-18T03:46:25.9751443Z 
2022-05-18T03:46:25.9751704Z [----------] 2 tests from IOptTensorListRefTest
2022-05-18T03:46:25.9752154Z [ RUN      ] IOptTensorListRefTest.Boxed_Iterate
2022-05-18T03:46:25.9752637Z [       OK ] IOptTensorListRefTest.Boxed_Iterate (0 ms)
2022-05-18T03:46:25.9753204Z [ RUN      ] IOptTensorListRefTest.Unboxed_Iterate
2022-05-18T03:46:25.9753689Z [       OK ] IOptTensorListRefTest.Unboxed_Iterate (0 ms)
2022-05-18T03:46:25.9754194Z [----------] 2 tests from IOptTensorListRefTest (0 ms total)
2022-05-18T03:46:25.9754431Z 
2022-05-18T03:46:25.9754672Z [----------] Global test environment tear-down
2022-05-18T03:46:25.9755128Z [==========] 21 tests from 3 test suites ran. (1 ms total)
2022-05-18T03:46:25.9755470Z [  PASSED  ] 21 tests.
2022-05-18T03:46:26.0156907Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:26.0157180Z + case "$test" in
2022-05-18T03:46:26.0158836Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/KernelFunction_test
2022-05-18T03:46:26.0164778Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:26.0165716Z + /opt/conda/lib/python3.7/site-packages/torch/test/KernelFunction_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/KernelFunction_test.xml
2022-05-18T03:46:26.1895746Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:26.1896534Z [==========] Running 28 tests from 1 test suite.
2022-05-18T03:46:26.1897037Z [----------] Global test environment set-up.
2022-05-18T03:46:26.1897649Z [----------] 28 tests from KernelFunctionTest
2022-05-18T03:46:26.1898085Z [ RUN      ] KernelFunctionTest.givenBoxedFunction_withReturn_whenCallingBoxed_thenWorks
2022-05-18T03:46:26.1898608Z [       OK ] KernelFunctionTest.givenBoxedFunction_withReturn_whenCallingBoxed_thenWorks (0 ms)
2022-05-18T03:46:26.1899127Z [ RUN      ] KernelFunctionTest.givenBoxedFunction_withoutReturn_whenCallingBoxed_thenWorks
2022-05-18T03:46:26.1899635Z [       OK ] KernelFunctionTest.givenBoxedFunction_withoutReturn_whenCallingBoxed_thenWorks (0 ms)
2022-05-18T03:46:26.1900185Z [ RUN      ] KernelFunctionTest.givenBoxedFunction_withMultiReturn_whenCallingBoxed_thenWorks
2022-05-18T03:46:26.1900715Z [       OK ] KernelFunctionTest.givenBoxedFunction_withMultiReturn_whenCallingBoxed_thenWorks (0 ms)
2022-05-18T03:46:26.1901251Z [ RUN      ] KernelFunctionTest.givenBoxedFunction_withInPlaceSignature_whenCallingBoxed_thenWorks
2022-05-18T03:46:26.2090495Z [       OK ] KernelFunctionTest.givenBoxedFunction_withInPlaceSignature_whenCallingBoxed_thenWorks (19 ms)
2022-05-18T03:46:26.2091469Z [ RUN      ] KernelFunctionTest.givenBoxedFunction_withOutOfPlaceSignature_whenCallingBoxed_thenWorks
2022-05-18T03:46:26.2092224Z [       OK ] KernelFunctionTest.givenBoxedFunction_withOutOfPlaceSignature_whenCallingBoxed_thenWorks (0 ms)
2022-05-18T03:46:26.2093128Z [ RUN      ] KernelFunctionTest.givenBoxedFunction_withOutOfPlaceMultiSignature_whenCallingBoxed_thenWorks
2022-05-18T03:46:26.2094476Z [       OK ] KernelFunctionTest.givenBoxedFunction_withOutOfPlaceMultiSignature_whenCallingBoxed_thenWorks (0 ms)
2022-05-18T03:46:26.2095435Z [ RUN      ] KernelFunctionTest.givenBoxedFunction_withReturn_whenCallingUnboxed_thenWorks
2022-05-18T03:46:26.2095991Z [       OK ] KernelFunctionTest.givenBoxedFunction_withReturn_whenCallingUnboxed_thenWorks (0 ms)
2022-05-18T03:46:26.2096513Z [ RUN      ] KernelFunctionTest.givenBoxedFunction_withoutReturn_whenCallingUnboxed_thenWorks
2022-05-18T03:46:26.2097109Z [       OK ] KernelFunctionTest.givenBoxedFunction_withoutReturn_whenCallingUnboxed_thenWorks (0 ms)
2022-05-18T03:46:26.2097897Z [ RUN      ] KernelFunctionTest.givenBoxedFunction_withMultiReturn_whenCallingUnboxed_thenWorks
2022-05-18T03:46:26.2098548Z [       OK ] KernelFunctionTest.givenBoxedFunction_withMultiReturn_whenCallingUnboxed_thenWorks (0 ms)
2022-05-18T03:46:26.2099096Z [ RUN      ] KernelFunctionTest.givenBoxedFunction_withInPlaceSignature_whenCallingUnboxed_thenWorks
2022-05-18T03:46:26.2099758Z [       OK ] KernelFunctionTest.givenBoxedFunction_withInPlaceSignature_whenCallingUnboxed_thenWorks (0 ms)
2022-05-18T03:46:26.2100548Z [ RUN      ] KernelFunctionTest.givenBoxedFunction_withOutOfPlaceSignature_whenCallingUnboxed_thenWorks
2022-05-18T03:46:26.2101392Z [       OK ] KernelFunctionTest.givenBoxedFunction_withOutOfPlaceSignature_whenCallingUnboxed_thenWorks (0 ms)
2022-05-18T03:46:26.2101977Z [ RUN      ] KernelFunctionTest.givenBoxedFunction_withOutOfPlaceMultiSignature_whenCallingUnboxed_thenWorks
2022-05-18T03:46:26.2102562Z [       OK ] KernelFunctionTest.givenBoxedFunction_withOutOfPlaceMultiSignature_whenCallingUnboxed_thenWorks (0 ms)
2022-05-18T03:46:26.2103108Z [ RUN      ] KernelFunctionTest.givenUnboxedFunctor_withReturn_whenCallingBoxed_thenWorks
2022-05-18T03:46:26.2103625Z [       OK ] KernelFunctionTest.givenUnboxedFunctor_withReturn_whenCallingBoxed_thenWorks (0 ms)
2022-05-18T03:46:26.2104153Z [ RUN      ] KernelFunctionTest.givenUnboxedFunctor_withoutReturn_whenCallingBoxed_thenWorks
2022-05-18T03:46:26.2104667Z [       OK ] KernelFunctionTest.givenUnboxedFunctor_withoutReturn_whenCallingBoxed_thenWorks (0 ms)
2022-05-18T03:46:26.2105271Z [ RUN      ] KernelFunctionTest.givenUnboxedFunctor_withReturn_whenCallingUnboxed_thenWorks
2022-05-18T03:46:26.2105795Z [       OK ] KernelFunctionTest.givenUnboxedFunctor_withReturn_whenCallingUnboxed_thenWorks (0 ms)
2022-05-18T03:46:26.2106315Z [ RUN      ] KernelFunctionTest.givenUnboxedFunctor_withoutReturn_whenCallingUnboxed_thenWorks
2022-05-18T03:46:26.2106836Z [       OK ] KernelFunctionTest.givenUnboxedFunctor_withoutReturn_whenCallingUnboxed_thenWorks (0 ms)
2022-05-18T03:46:26.2107356Z [ RUN      ] KernelFunctionTest.givenUnboxedFunction_withReturn_whenCallingBoxed_thenWorks
2022-05-18T03:46:26.2107886Z [       OK ] KernelFunctionTest.givenUnboxedFunction_withReturn_whenCallingBoxed_thenWorks (0 ms)
2022-05-18T03:46:26.2108414Z [ RUN      ] KernelFunctionTest.givenUnboxedFunction_withoutReturn_whenCallingBoxed_thenWorks
2022-05-18T03:46:26.2108929Z [       OK ] KernelFunctionTest.givenUnboxedFunction_withoutReturn_whenCallingBoxed_thenWorks (0 ms)
2022-05-18T03:46:26.2109452Z [ RUN      ] KernelFunctionTest.givenUnboxedFunction_withReturn_whenCallingUnboxed_thenWorks
2022-05-18T03:46:26.2109976Z [       OK ] KernelFunctionTest.givenUnboxedFunction_withReturn_whenCallingUnboxed_thenWorks (0 ms)
2022-05-18T03:46:26.2110492Z [ RUN      ] KernelFunctionTest.givenUnboxedFunction_withoutReturn_whenCallingUnboxed_thenWorks
2022-05-18T03:46:26.2111027Z [       OK ] KernelFunctionTest.givenUnboxedFunction_withoutReturn_whenCallingUnboxed_thenWorks (0 ms)
2022-05-18T03:46:26.2111577Z [ RUN      ] KernelFunctionTest.givenUnboxedRuntimeFunction_withReturn_whenCallingBoxed_thenWorks
2022-05-18T03:46:26.2112213Z [       OK ] KernelFunctionTest.givenUnboxedRuntimeFunction_withReturn_whenCallingBoxed_thenWorks (0 ms)
2022-05-18T03:46:26.2112761Z [ RUN      ] KernelFunctionTest.givenUnboxedRuntimeFunction_withoutReturn_whenCallingBoxed_thenWorks
2022-05-18T03:46:26.2113332Z [       OK ] KernelFunctionTest.givenUnboxedRuntimeFunction_withoutReturn_whenCallingBoxed_thenWorks (0 ms)
2022-05-18T03:46:26.2113896Z [ RUN      ] KernelFunctionTest.givenUnboxedRuntimeFunction_withReturn_whenCallingUnboxed_thenWorks
2022-05-18T03:46:26.2114465Z [       OK ] KernelFunctionTest.givenUnboxedRuntimeFunction_withReturn_whenCallingUnboxed_thenWorks (0 ms)
2022-05-18T03:46:26.2115028Z [ RUN      ] KernelFunctionTest.givenUnboxedRuntimeFunction_withoutReturn_whenCallingUnboxed_thenWorks
2022-05-18T03:46:26.2115611Z [       OK ] KernelFunctionTest.givenUnboxedRuntimeFunction_withoutReturn_whenCallingUnboxed_thenWorks (0 ms)
2022-05-18T03:46:26.2116210Z [ RUN      ] KernelFunctionTest.givenUnboxedLambda_withReturn_whenCallingBoxed_thenWorks
2022-05-18T03:46:26.2116726Z [       OK ] KernelFunctionTest.givenUnboxedLambda_withReturn_whenCallingBoxed_thenWorks (0 ms)
2022-05-18T03:46:26.2117227Z [ RUN      ] KernelFunctionTest.givenUnboxedLambda_withoutReturn_whenCallingBoxed_thenWorks
2022-05-18T03:46:26.2117745Z [       OK ] KernelFunctionTest.givenUnboxedLambda_withoutReturn_whenCallingBoxed_thenWorks (0 ms)
2022-05-18T03:46:26.2118262Z [ RUN      ] KernelFunctionTest.givenUnboxedLambda_withReturn_whenCallingUnboxed_thenWorks
2022-05-18T03:46:26.2118794Z [       OK ] KernelFunctionTest.givenUnboxedLambda_withReturn_whenCallingUnboxed_thenWorks (0 ms)
2022-05-18T03:46:26.2119303Z [ RUN      ] KernelFunctionTest.givenUnboxedLambda_withoutReturn_whenCallingUnboxed_thenWorks
2022-05-18T03:46:26.2119833Z [       OK ] KernelFunctionTest.givenUnboxedLambda_withoutReturn_whenCallingUnboxed_thenWorks (0 ms)
2022-05-18T03:46:26.2120282Z [----------] 28 tests from KernelFunctionTest (19 ms total)
2022-05-18T03:46:26.2120459Z 
2022-05-18T03:46:26.2120623Z [----------] Global test environment tear-down
2022-05-18T03:46:26.2120952Z [==========] 28 tests from 1 test suite ran. (19 ms total)
2022-05-18T03:46:26.2121221Z [  PASSED  ] 28 tests.
2022-05-18T03:46:26.2526951Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:26.2527199Z + case "$test" in
2022-05-18T03:46:26.2529519Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/List_test
2022-05-18T03:46:26.2535184Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:26.2535709Z + /opt/conda/lib/python3.7/site-packages/torch/test/List_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/List_test.xml
2022-05-18T03:46:26.4252714Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:26.4253501Z [==========] Running 139 tests from 3 test suites.
2022-05-18T03:46:26.4253983Z [----------] Global test environment set-up.
2022-05-18T03:46:26.4254510Z [----------] 67 tests from ListTest_IValueBasedList
2022-05-18T03:46:26.4255231Z [ RUN      ] ListTest_IValueBasedList.givenEmptyList_whenCallingEmpty_thenReturnsTrue
2022-05-18T03:46:26.4256084Z [       OK ] ListTest_IValueBasedList.givenEmptyList_whenCallingEmpty_thenReturnsTrue (0 ms)
2022-05-18T03:46:26.4256862Z [ RUN      ] ListTest_IValueBasedList.givenNonemptyList_whenCallingEmpty_thenReturnsFalse
2022-05-18T03:46:26.4257655Z [       OK ] ListTest_IValueBasedList.givenNonemptyList_whenCallingEmpty_thenReturnsFalse (0 ms)
2022-05-18T03:46:26.4258405Z [ RUN      ] ListTest_IValueBasedList.givenEmptyList_whenCallingSize_thenReturnsZero
2022-05-18T03:46:26.4259463Z [       OK ] ListTest_IValueBasedList.givenEmptyList_whenCallingSize_thenReturnsZero (0 ms)
2022-05-18T03:46:26.4260332Z [ RUN      ] ListTest_IValueBasedList.givenNonemptyList_whenCallingSize_thenReturnsNumberOfElements
2022-05-18T03:46:26.4261313Z [       OK ] ListTest_IValueBasedList.givenNonemptyList_whenCallingSize_thenReturnsNumberOfElements (0 ms)
2022-05-18T03:46:26.4262204Z [ RUN      ] ListTest_IValueBasedList.givenNonemptyList_whenCallingClear_thenIsEmpty
2022-05-18T03:46:26.4263019Z [       OK ] ListTest_IValueBasedList.givenNonemptyList_whenCallingClear_thenIsEmpty (0 ms)
2022-05-18T03:46:26.4263936Z [ RUN      ] ListTest_IValueBasedList.whenCallingGetWithExistingPosition_thenReturnsElement
2022-05-18T03:46:26.4285339Z [       OK ] ListTest_IValueBasedList.whenCallingGetWithExistingPosition_thenReturnsElement (0 ms)
2022-05-18T03:46:26.4286515Z [ RUN      ] ListTest_IValueBasedList.whenCallingGetWithNonExistingPosition_thenThrowsException
2022-05-18T03:46:26.4287819Z [       OK ] ListTest_IValueBasedList.whenCallingGetWithNonExistingPosition_thenThrowsException (0 ms)
2022-05-18T03:46:26.4288883Z [ RUN      ] ListTest_IValueBasedList.whenCallingExtractWithExistingPosition_thenReturnsElement
2022-05-18T03:46:26.4289972Z [       OK ] ListTest_IValueBasedList.whenCallingExtractWithExistingPosition_thenReturnsElement (0 ms)
2022-05-18T03:46:26.4290867Z [ RUN      ] ListTest_IValueBasedList.whenCallingExtractWithExistingPosition_thenListElementBecomesInvalid
2022-05-18T03:46:26.4291510Z [       OK ] ListTest_IValueBasedList.whenCallingExtractWithExistingPosition_thenListElementBecomesInvalid (0 ms)
2022-05-18T03:46:26.4292139Z [ RUN      ] ListTest_IValueBasedList.whenCallingExtractWithNonExistingPosition_thenThrowsException
2022-05-18T03:46:26.4292755Z [       OK ] ListTest_IValueBasedList.whenCallingExtractWithNonExistingPosition_thenThrowsException (0 ms)
2022-05-18T03:46:26.4293359Z [ RUN      ] ListTest_IValueBasedList.whenCallingCopyingSetWithExistingPosition_thenChangesElement
2022-05-18T03:46:26.4293984Z [       OK ] ListTest_IValueBasedList.whenCallingCopyingSetWithExistingPosition_thenChangesElement (0 ms)
2022-05-18T03:46:26.4294590Z [ RUN      ] ListTest_IValueBasedList.whenCallingMovingSetWithExistingPosition_thenChangesElement
2022-05-18T03:46:26.4295198Z [       OK ] ListTest_IValueBasedList.whenCallingMovingSetWithExistingPosition_thenChangesElement (0 ms)
2022-05-18T03:46:26.4295808Z [ RUN      ] ListTest_IValueBasedList.whenCallingCopyingSetWithNonExistingPosition_thenThrowsException
2022-05-18T03:46:26.4296454Z [       OK ] ListTest_IValueBasedList.whenCallingCopyingSetWithNonExistingPosition_thenThrowsException (0 ms)
2022-05-18T03:46:26.4297086Z [ RUN      ] ListTest_IValueBasedList.whenCallingMovingSetWithNonExistingPosition_thenThrowsException
2022-05-18T03:46:26.4297705Z [       OK ] ListTest_IValueBasedList.whenCallingMovingSetWithNonExistingPosition_thenThrowsException (0 ms)
2022-05-18T03:46:26.4298343Z [ RUN      ] ListTest_IValueBasedList.whenCallingAccessOperatorWithExistingPosition_thenReturnsElement
2022-05-18T03:46:26.4298990Z [       OK ] ListTest_IValueBasedList.whenCallingAccessOperatorWithExistingPosition_thenReturnsElement (0 ms)
2022-05-18T03:46:26.4299640Z [ RUN      ] ListTest_IValueBasedList.whenAssigningToAccessOperatorWithExistingPosition_thenSetsElement
2022-05-18T03:46:26.4300292Z [       OK ] ListTest_IValueBasedList.whenAssigningToAccessOperatorWithExistingPosition_thenSetsElement (0 ms)
2022-05-18T03:46:26.4300944Z [ RUN      ] ListTest_IValueBasedList.whenAssigningToAccessOperatorFromAccessOperator_thenSetsElement
2022-05-18T03:46:26.4301757Z [       OK ] ListTest_IValueBasedList.whenAssigningToAccessOperatorFromAccessOperator_thenSetsElement (0 ms)
2022-05-18T03:46:26.4302589Z [ RUN      ] ListTest_IValueBasedList.whenSwappingFromAccessOperator_thenSwapsElements
2022-05-18T03:46:26.4303121Z [       OK ] ListTest_IValueBasedList.whenSwappingFromAccessOperator_thenSwapsElements (0 ms)
2022-05-18T03:46:26.4303727Z [ RUN      ] ListTest_IValueBasedList.whenCallingAccessOperatorWithNonExistingPosition_thenThrowsException
2022-05-18T03:46:26.4304403Z [       OK ] ListTest_IValueBasedList.whenCallingAccessOperatorWithNonExistingPosition_thenThrowsException (0 ms)
2022-05-18T03:46:26.4305113Z [ RUN      ] ListTest_IValueBasedList.whenCallingInsertOnIteratorWithLValue_thenInsertsElement
2022-05-18T03:46:26.4305684Z [       OK ] ListTest_IValueBasedList.whenCallingInsertOnIteratorWithLValue_thenInsertsElement (0 ms)
2022-05-18T03:46:26.4306257Z [ RUN      ] ListTest_IValueBasedList.whenCallingInsertOnIteratorWithRValue_thenInsertsElement
2022-05-18T03:46:26.4306839Z [       OK ] ListTest_IValueBasedList.whenCallingInsertOnIteratorWithRValue_thenInsertsElement (0 ms)
2022-05-18T03:46:26.4307461Z [ RUN      ] ListTest_IValueBasedList.whenCallingInsertWithLValue_thenReturnsIteratorToNewElement
2022-05-18T03:46:26.4308028Z [       OK ] ListTest_IValueBasedList.whenCallingInsertWithLValue_thenReturnsIteratorToNewElement (0 ms)
2022-05-18T03:46:26.4308602Z [ RUN      ] ListTest_IValueBasedList.whenCallingInsertWithRValue_thenReturnsIteratorToNewElement
2022-05-18T03:46:26.4309174Z [       OK ] ListTest_IValueBasedList.whenCallingInsertWithRValue_thenReturnsIteratorToNewElement (0 ms)
2022-05-18T03:46:26.4309696Z [ RUN      ] ListTest_IValueBasedList.whenCallingEmplaceWithLValue_thenInsertsElement
2022-05-18T03:46:26.4310220Z [       OK ] ListTest_IValueBasedList.whenCallingEmplaceWithLValue_thenInsertsElement (0 ms)
2022-05-18T03:46:26.4310736Z [ RUN      ] ListTest_IValueBasedList.whenCallingEmplaceWithRValue_thenInsertsElement
2022-05-18T03:46:26.4311260Z [       OK ] ListTest_IValueBasedList.whenCallingEmplaceWithRValue_thenInsertsElement (0 ms)
2022-05-18T03:46:26.4311794Z [ RUN      ] ListTest_IValueBasedList.whenCallingEmplaceWithConstructorArg_thenInsertsElement
2022-05-18T03:46:26.4312372Z [       OK ] ListTest_IValueBasedList.whenCallingEmplaceWithConstructorArg_thenInsertsElement (0 ms)
2022-05-18T03:46:26.4312914Z [ RUN      ] ListTest_IValueBasedList.whenCallingPushBackWithLValue_ThenInsertsElement
2022-05-18T03:46:26.4313443Z [       OK ] ListTest_IValueBasedList.whenCallingPushBackWithLValue_ThenInsertsElement (0 ms)
2022-05-18T03:46:26.4313947Z [ RUN      ] ListTest_IValueBasedList.whenCallingPushBackWithRValue_ThenInsertsElement
2022-05-18T03:46:26.4314475Z [       OK ] ListTest_IValueBasedList.whenCallingPushBackWithRValue_ThenInsertsElement (0 ms)
2022-05-18T03:46:26.4315010Z [ RUN      ] ListTest_IValueBasedList.whenCallingEmplaceBackWithLValue_ThenInsertsElement
2022-05-18T03:46:26.4315563Z [       OK ] ListTest_IValueBasedList.whenCallingEmplaceBackWithLValue_ThenInsertsElement (0 ms)
2022-05-18T03:46:26.4316094Z [ RUN      ] ListTest_IValueBasedList.whenCallingEmplaceBackWithRValue_ThenInsertsElement
2022-05-18T03:46:26.4316641Z [       OK ] ListTest_IValueBasedList.whenCallingEmplaceBackWithRValue_ThenInsertsElement (0 ms)
2022-05-18T03:46:26.4317214Z [ RUN      ] ListTest_IValueBasedList.whenCallingEmplaceBackWithConstructorArg_ThenInsertsElement
2022-05-18T03:46:26.4317806Z [       OK ] ListTest_IValueBasedList.whenCallingEmplaceBackWithConstructorArg_ThenInsertsElement (0 ms)
2022-05-18T03:46:26.4318333Z [ RUN      ] ListTest_IValueBasedList.givenEmptyList_whenIterating_thenBeginIsEnd
2022-05-18T03:46:26.4318801Z [       OK ] ListTest_IValueBasedList.givenEmptyList_whenIterating_thenBeginIsEnd (0 ms)
2022-05-18T03:46:26.4319236Z [ RUN      ] ListTest_IValueBasedList.whenIterating_thenFindsElements
2022-05-18T03:46:26.4319691Z [       OK ] ListTest_IValueBasedList.whenIterating_thenFindsElements (0 ms)
2022-05-18T03:46:26.4320151Z [ RUN      ] ListTest_IValueBasedList.whenIteratingWithForeach_thenFindsElements
2022-05-18T03:46:26.4320643Z [       OK ] ListTest_IValueBasedList.whenIteratingWithForeach_thenFindsElements (0 ms)
2022-05-18T03:46:26.4321131Z [ RUN      ] ListTest_IValueBasedList.givenOneElementList_whenErasing_thenListIsEmpty
2022-05-18T03:46:26.4321609Z [       OK ] ListTest_IValueBasedList.givenOneElementList_whenErasing_thenListIsEmpty (0 ms)
2022-05-18T03:46:26.4322072Z [ RUN      ] ListTest_IValueBasedList.givenList_whenErasing_thenReturnsIterator
2022-05-18T03:46:26.4322532Z [       OK ] ListTest_IValueBasedList.givenList_whenErasing_thenReturnsIterator (0 ms)
2022-05-18T03:46:26.4323105Z [ RUN      ] ListTest_IValueBasedList.givenList_whenErasingFullRange_thenIsEmpty
2022-05-18T03:46:26.4323654Z [       OK ] ListTest_IValueBasedList.givenList_whenErasingFullRange_thenIsEmpty (0 ms)
2022-05-18T03:46:26.4324476Z [ RUN      ] ListTest_IValueBasedList.whenCallingReserve_thenDoesntCrash
2022-05-18T03:46:26.4325042Z [       OK ] ListTest_IValueBasedList.whenCallingReserve_thenDoesntCrash (0 ms)
2022-05-18T03:46:26.4325852Z [ RUN      ] ListTest_IValueBasedList.whenCopyConstructingList_thenAreEqual
2022-05-18T03:46:26.4326477Z [       OK ] ListTest_IValueBasedList.whenCopyConstructingList_thenAreEqual (0 ms)
2022-05-18T03:46:26.4326940Z [ RUN      ] ListTest_IValueBasedList.whenCopyAssigningList_thenAreEqual
2022-05-18T03:46:26.4327378Z [       OK ] ListTest_IValueBasedList.whenCopyAssigningList_thenAreEqual (0 ms)
2022-05-18T03:46:26.4327811Z [ RUN      ] ListTest_IValueBasedList.whenCopyingList_thenAreEqual
2022-05-18T03:46:26.4328240Z [       OK ] ListTest_IValueBasedList.whenCopyingList_thenAreEqual (0 ms)
2022-05-18T03:46:26.4328695Z [ RUN      ] ListTest_IValueBasedList.whenMoveConstructingList_thenNewIsCorrect
2022-05-18T03:46:26.4329173Z [       OK ] ListTest_IValueBasedList.whenMoveConstructingList_thenNewIsCorrect (0 ms)
2022-05-18T03:46:26.4329644Z [ RUN      ] ListTest_IValueBasedList.whenMoveAssigningList_thenNewIsCorrect
2022-05-18T03:46:26.4330114Z [       OK ] ListTest_IValueBasedList.whenMoveAssigningList_thenNewIsCorrect (0 ms)
2022-05-18T03:46:26.4330573Z [ RUN      ] ListTest_IValueBasedList.whenMoveConstructingList_thenOldIsUnchanged
2022-05-18T03:46:26.4331070Z [       OK ] ListTest_IValueBasedList.whenMoveConstructingList_thenOldIsUnchanged (0 ms)
2022-05-18T03:46:26.4331550Z [ RUN      ] ListTest_IValueBasedList.whenMoveAssigningList_thenOldIsUnchanged
2022-05-18T03:46:26.4332024Z [       OK ] ListTest_IValueBasedList.whenMoveAssigningList_thenOldIsUnchanged (0 ms)
2022-05-18T03:46:26.4332567Z [ RUN      ] ListTest_IValueBasedList.givenIterator_whenPostfixIncrementing_thenMovesToNextAndReturnsOldPosition
2022-05-18T03:46:26.4333184Z [       OK ] ListTest_IValueBasedList.givenIterator_whenPostfixIncrementing_thenMovesToNextAndReturnsOldPosition (0 ms)
2022-05-18T03:46:26.4333779Z [ RUN      ] ListTest_IValueBasedList.givenIterator_whenPrefixIncrementing_thenMovesToNextAndReturnsNewPosition
2022-05-18T03:46:26.4334387Z [       OK ] ListTest_IValueBasedList.givenIterator_whenPrefixIncrementing_thenMovesToNextAndReturnsNewPosition (0 ms)
2022-05-18T03:46:26.4334973Z [ RUN      ] ListTest_IValueBasedList.givenIterator_whenPostfixDecrementing_thenMovesToNextAndReturnsOldPosition
2022-05-18T03:46:26.4335576Z [       OK ] ListTest_IValueBasedList.givenIterator_whenPostfixDecrementing_thenMovesToNextAndReturnsOldPosition (0 ms)
2022-05-18T03:46:26.4336173Z [ RUN      ] ListTest_IValueBasedList.givenIterator_whenPrefixDecrementing_thenMovesToNextAndReturnsNewPosition
2022-05-18T03:46:26.4336855Z [       OK ] ListTest_IValueBasedList.givenIterator_whenPrefixDecrementing_thenMovesToNextAndReturnsNewPosition (0 ms)
2022-05-18T03:46:26.4337422Z [ RUN      ] ListTest_IValueBasedList.givenIterator_whenIncreasing_thenMovesToNextAndReturnsNewPosition
2022-05-18T03:46:26.4337998Z [       OK ] ListTest_IValueBasedList.givenIterator_whenIncreasing_thenMovesToNextAndReturnsNewPosition (0 ms)
2022-05-18T03:46:26.4338562Z [ RUN      ] ListTest_IValueBasedList.givenIterator_whenDecreasing_thenMovesToNextAndReturnsNewPosition
2022-05-18T03:46:26.4339129Z [       OK ] ListTest_IValueBasedList.givenIterator_whenDecreasing_thenMovesToNextAndReturnsNewPosition (0 ms)
2022-05-18T03:46:26.4339630Z [ RUN      ] ListTest_IValueBasedList.givenIterator_whenAdding_thenReturnsNewIterator
2022-05-18T03:46:26.4340127Z [       OK ] ListTest_IValueBasedList.givenIterator_whenAdding_thenReturnsNewIterator (0 ms)
2022-05-18T03:46:26.4340621Z [ RUN      ] ListTest_IValueBasedList.givenIterator_whenSubtracting_thenReturnsNewIterator
2022-05-18T03:46:26.4341146Z [       OK ] ListTest_IValueBasedList.givenIterator_whenSubtracting_thenReturnsNewIterator (0 ms)
2022-05-18T03:46:26.4341677Z [ RUN      ] ListTest_IValueBasedList.givenIterator_whenCalculatingDifference_thenReturnsCorrectNumber
2022-05-18T03:46:26.4342236Z [       OK ] ListTest_IValueBasedList.givenIterator_whenCalculatingDifference_thenReturnsCorrectNumber (0 ms)
2022-05-18T03:46:26.4342718Z [ RUN      ] ListTest_IValueBasedList.givenEqualIterators_thenAreEqual
2022-05-18T03:46:26.4343152Z [       OK ] ListTest_IValueBasedList.givenEqualIterators_thenAreEqual (0 ms)
2022-05-18T03:46:26.4343605Z [ RUN      ] ListTest_IValueBasedList.givenDifferentIterators_thenAreNotEqual
2022-05-18T03:46:26.4344082Z [       OK ] ListTest_IValueBasedList.givenDifferentIterators_thenAreNotEqual (0 ms)
2022-05-18T03:46:26.4344595Z [ RUN      ] ListTest_IValueBasedList.givenIterator_whenDereferencing_thenPointsToCorrectElement
2022-05-18T03:46:26.4345204Z [       OK ] ListTest_IValueBasedList.givenIterator_whenDereferencing_thenPointsToCorrectElement (0 ms)
2022-05-18T03:46:26.4345724Z [ RUN      ] ListTest_IValueBasedList.givenIterator_whenAssigningNewValue_thenChangesValue
2022-05-18T03:46:26.4346227Z [       OK ] ListTest_IValueBasedList.givenIterator_whenAssigningNewValue_thenChangesValue (0 ms)
2022-05-18T03:46:26.4346747Z [ RUN      ] ListTest_IValueBasedList.givenIterator_whenAssigningNewValueFromIterator_thenChangesValue
2022-05-18T03:46:26.4347306Z [       OK ] ListTest_IValueBasedList.givenIterator_whenAssigningNewValueFromIterator_thenChangesValue (0 ms)
2022-05-18T03:46:26.4347852Z [ RUN      ] ListTest_IValueBasedList.givenIterator_whenSwappingValuesFromIterator_thenChangesValue
2022-05-18T03:46:26.4348405Z [       OK ] ListTest_IValueBasedList.givenIterator_whenSwappingValuesFromIterator_thenChangesValue (0 ms)
2022-05-18T03:46:26.4348919Z [ RUN      ] ListTest_IValueBasedList.givenOneElementList_whenCallingPopBack_thenIsEmpty
2022-05-18T03:46:26.4349430Z [       OK ] ListTest_IValueBasedList.givenOneElementList_whenCallingPopBack_thenIsEmpty (0 ms)
2022-05-18T03:46:26.4349952Z [ RUN      ] ListTest_IValueBasedList.givenEmptyList_whenCallingResize_thenResizesAndSetsEmptyValue
2022-05-18T03:46:26.4350494Z [       OK ] ListTest_IValueBasedList.givenEmptyList_whenCallingResize_thenResizesAndSetsEmptyValue (0 ms)
2022-05-18T03:46:26.4351027Z [ RUN      ] ListTest_IValueBasedList.givenEmptyList_whenCallingResizeWithValue_thenResizesAndSetsValue
2022-05-18T03:46:26.4351589Z [       OK ] ListTest_IValueBasedList.givenEmptyList_whenCallingResizeWithValue_thenResizesAndSetsValue (0 ms)
2022-05-18T03:46:26.4352035Z [ RUN      ] ListTest_IValueBasedList.isReferenceType
2022-05-18T03:46:26.4352462Z [       OK ] ListTest_IValueBasedList.isReferenceType (0 ms)
2022-05-18T03:46:26.4352846Z [ RUN      ] ListTest_IValueBasedList.copyHasSeparateStorage
2022-05-18T03:46:26.4353270Z [       OK ] ListTest_IValueBasedList.copyHasSeparateStorage (0 ms)
2022-05-18T03:46:26.4353687Z [ RUN      ] ListTest_IValueBasedList.givenEqualLists_thenIsEqual
2022-05-18T03:46:26.4354092Z [       OK ] ListTest_IValueBasedList.givenEqualLists_thenIsEqual (0 ms)
2022-05-18T03:46:26.4354521Z [ RUN      ] ListTest_IValueBasedList.givenDifferentLists_thenIsNotEqual
2022-05-18T03:46:26.4354968Z [       OK ] ListTest_IValueBasedList.givenDifferentLists_thenIsNotEqual (0 ms)
2022-05-18T03:46:26.4355395Z [----------] 67 tests from ListTest_IValueBasedList (1 ms total)
2022-05-18T03:46:26.4355565Z 
2022-05-18T03:46:26.4355759Z [----------] 68 tests from ListTest_NonIValueBasedList
2022-05-18T03:46:26.4356195Z [ RUN      ] ListTest_NonIValueBasedList.givenEmptyList_whenCallingEmpty_thenReturnsTrue
2022-05-18T03:46:26.4356731Z [       OK ] ListTest_NonIValueBasedList.givenEmptyList_whenCallingEmpty_thenReturnsTrue (0 ms)
2022-05-18T03:46:26.4357223Z [ RUN      ] ListTest_NonIValueBasedList.givenNonemptyList_whenCallingEmpty_thenReturnsFalse
2022-05-18T03:46:26.4357742Z [       OK ] ListTest_NonIValueBasedList.givenNonemptyList_whenCallingEmpty_thenReturnsFalse (0 ms)
2022-05-18T03:46:26.4358243Z [ RUN      ] ListTest_NonIValueBasedList.givenEmptyList_whenCallingSize_thenReturnsZero
2022-05-18T03:46:26.4358737Z [       OK ] ListTest_NonIValueBasedList.givenEmptyList_whenCallingSize_thenReturnsZero (0 ms)
2022-05-18T03:46:26.4359250Z [ RUN      ] ListTest_NonIValueBasedList.givenNonemptyList_whenCallingSize_thenReturnsNumberOfElements
2022-05-18T03:46:26.4359816Z [       OK ] ListTest_NonIValueBasedList.givenNonemptyList_whenCallingSize_thenReturnsNumberOfElements (0 ms)
2022-05-18T03:46:26.4360344Z [ RUN      ] ListTest_NonIValueBasedList.givenNonemptyList_whenCallingClear_thenIsEmpty
2022-05-18T03:46:26.4360843Z [       OK ] ListTest_NonIValueBasedList.givenNonemptyList_whenCallingClear_thenIsEmpty (0 ms)
2022-05-18T03:46:26.4361371Z [ RUN      ] ListTest_NonIValueBasedList.whenCallingGetWithExistingPosition_thenReturnsElement
2022-05-18T03:46:26.4361954Z [       OK ] ListTest_NonIValueBasedList.whenCallingGetWithExistingPosition_thenReturnsElement (0 ms)
2022-05-18T03:46:26.4362545Z [ RUN      ] ListTest_NonIValueBasedList.whenCallingGetWithNonExistingPosition_thenThrowsException
2022-05-18T03:46:26.4363295Z [       OK ] ListTest_NonIValueBasedList.whenCallingGetWithNonExistingPosition_thenThrowsException (0 ms)
2022-05-18T03:46:26.4364304Z [ RUN      ] ListTest_NonIValueBasedList.whenCallingExtractWithExistingPosition_thenReturnsElement
2022-05-18T03:46:26.4364915Z [       OK ] ListTest_NonIValueBasedList.whenCallingExtractWithExistingPosition_thenReturnsElement (0 ms)
2022-05-18T03:46:26.4365542Z [ RUN      ] ListTest_NonIValueBasedList.whenCallingExtractWithNonExistingPosition_thenThrowsException
2022-05-18T03:46:26.4366167Z [       OK ] ListTest_NonIValueBasedList.whenCallingExtractWithNonExistingPosition_thenThrowsException (0 ms)
2022-05-18T03:46:26.4366807Z [ RUN      ] ListTest_NonIValueBasedList.whenCallingCopyingSetWithExistingPosition_thenChangesElement
2022-05-18T03:46:26.4367443Z [       OK ] ListTest_NonIValueBasedList.whenCallingCopyingSetWithExistingPosition_thenChangesElement (0 ms)
2022-05-18T03:46:26.4368066Z [ RUN      ] ListTest_NonIValueBasedList.whenCallingMovingSetWithExistingPosition_thenChangesElement
2022-05-18T03:46:26.4368678Z [       OK ] ListTest_NonIValueBasedList.whenCallingMovingSetWithExistingPosition_thenChangesElement (0 ms)
2022-05-18T03:46:26.4369322Z [ RUN      ] ListTest_NonIValueBasedList.whenCallingCopyingSetWithNonExistingPosition_thenThrowsException
2022-05-18T03:46:26.4370081Z [       OK ] ListTest_NonIValueBasedList.whenCallingCopyingSetWithNonExistingPosition_thenThrowsException (0 ms)
2022-05-18T03:46:26.4370737Z [ RUN      ] ListTest_NonIValueBasedList.whenCallingMovingSetWithNonExistingPosition_thenThrowsException
2022-05-18T03:46:26.4371377Z [       OK ] ListTest_NonIValueBasedList.whenCallingMovingSetWithNonExistingPosition_thenThrowsException (0 ms)
2022-05-18T03:46:26.4372041Z [ RUN      ] ListTest_NonIValueBasedList.whenCallingAccessOperatorWithExistingPosition_thenReturnsElement
2022-05-18T03:46:26.4372711Z [       OK ] ListTest_NonIValueBasedList.whenCallingAccessOperatorWithExistingPosition_thenReturnsElement (0 ms)
2022-05-18T03:46:26.4373385Z [ RUN      ] ListTest_NonIValueBasedList.whenAssigningToAccessOperatorWithExistingPosition_thenSetsElement
2022-05-18T03:46:26.4374063Z [       OK ] ListTest_NonIValueBasedList.whenAssigningToAccessOperatorWithExistingPosition_thenSetsElement (0 ms)
2022-05-18T03:46:26.4374785Z [ RUN      ] ListTest_NonIValueBasedList.whenAssigningToAccessOperatorFromAccessOperator_thenSetsElement
2022-05-18T03:46:26.4375457Z [       OK ] ListTest_NonIValueBasedList.whenAssigningToAccessOperatorFromAccessOperator_thenSetsElement (0 ms)
2022-05-18T03:46:26.4376067Z [ RUN      ] ListTest_NonIValueBasedList.whenSwappingFromAccessOperator_thenSwapsElements
2022-05-18T03:46:26.4376611Z [       OK ] ListTest_NonIValueBasedList.whenSwappingFromAccessOperator_thenSwapsElements (0 ms)
2022-05-18T03:46:26.4377242Z [ RUN      ] ListTest_NonIValueBasedList.whenCallingAccessOperatorWithNonExistingPosition_thenThrowsException
2022-05-18T03:46:26.4377942Z [       OK ] ListTest_NonIValueBasedList.whenCallingAccessOperatorWithNonExistingPosition_thenThrowsException (0 ms)
2022-05-18T03:46:26.4378584Z [ RUN      ] ListTest_NonIValueBasedList.whenCallingInsertOnIteratorWithLValue_thenInsertsElement
2022-05-18T03:46:26.4379175Z [       OK ] ListTest_NonIValueBasedList.whenCallingInsertOnIteratorWithLValue_thenInsertsElement (0 ms)
2022-05-18T03:46:26.4379769Z [ RUN      ] ListTest_NonIValueBasedList.whenCallingInsertOnIteratorWithRValue_thenInsertsElement
2022-05-18T03:46:26.4380366Z [       OK ] ListTest_NonIValueBasedList.whenCallingInsertOnIteratorWithRValue_thenInsertsElement (0 ms)
2022-05-18T03:46:26.4380944Z [ RUN      ] ListTest_NonIValueBasedList.whenCallingInsertWithLValue_thenReturnsIteratorToNewElement
2022-05-18T03:46:26.4381536Z [       OK ] ListTest_NonIValueBasedList.whenCallingInsertWithLValue_thenReturnsIteratorToNewElement (0 ms)
2022-05-18T03:46:26.4382120Z [ RUN      ] ListTest_NonIValueBasedList.whenCallingInsertWithRValue_thenReturnsIteratorToNewElement
2022-05-18T03:46:26.4382706Z [       OK ] ListTest_NonIValueBasedList.whenCallingInsertWithRValue_thenReturnsIteratorToNewElement (0 ms)
2022-05-18T03:46:26.4383260Z [ RUN      ] ListTest_NonIValueBasedList.whenCallingEmplaceWithLValue_thenInsertsElement
2022-05-18T03:46:26.4383809Z [       OK ] ListTest_NonIValueBasedList.whenCallingEmplaceWithLValue_thenInsertsElement (0 ms)
2022-05-18T03:46:26.4384343Z [ RUN      ] ListTest_NonIValueBasedList.whenCallingEmplaceWithRValue_thenInsertsElement
2022-05-18T03:46:26.4384884Z [       OK ] ListTest_NonIValueBasedList.whenCallingEmplaceWithRValue_thenInsertsElement (0 ms)
2022-05-18T03:46:26.4385555Z [ RUN      ] ListTest_NonIValueBasedList.whenCallingEmplaceWithConstructorArg_thenInsertsElement
2022-05-18T03:46:26.4386152Z [       OK ] ListTest_NonIValueBasedList.whenCallingEmplaceWithConstructorArg_thenInsertsElement (0 ms)
2022-05-18T03:46:26.4386717Z [ RUN      ] ListTest_NonIValueBasedList.whenCallingPushBackWithLValue_ThenInsertsElement
2022-05-18T03:46:26.4387318Z [       OK ] ListTest_NonIValueBasedList.whenCallingPushBackWithLValue_ThenInsertsElement (0 ms)
2022-05-18T03:46:26.4387844Z [ RUN      ] ListTest_NonIValueBasedList.whenCallingPushBackWithRValue_ThenInsertsElement
2022-05-18T03:46:26.4388387Z [       OK ] ListTest_NonIValueBasedList.whenCallingPushBackWithRValue_ThenInsertsElement (0 ms)
2022-05-18T03:46:26.4388936Z [ RUN      ] ListTest_NonIValueBasedList.whenCallingEmplaceBackWithLValue_ThenInsertsElement
2022-05-18T03:46:26.4389500Z [       OK ] ListTest_NonIValueBasedList.whenCallingEmplaceBackWithLValue_ThenInsertsElement (0 ms)
2022-05-18T03:46:26.4390053Z [ RUN      ] ListTest_NonIValueBasedList.whenCallingEmplaceBackWithRValue_ThenInsertsElement
2022-05-18T03:46:26.4390617Z [       OK ] ListTest_NonIValueBasedList.whenCallingEmplaceBackWithRValue_ThenInsertsElement (0 ms)
2022-05-18T03:46:26.4391219Z [ RUN      ] ListTest_NonIValueBasedList.whenCallingEmplaceBackWithConstructorArg_ThenInsertsElement
2022-05-18T03:46:26.4391870Z [       OK ] ListTest_NonIValueBasedList.whenCallingEmplaceBackWithConstructorArg_ThenInsertsElement (0 ms)
2022-05-18T03:46:26.4392417Z [ RUN      ] ListTest_NonIValueBasedList.givenEmptyList_whenIterating_thenBeginIsEnd
2022-05-18T03:46:26.4392901Z [       OK ] ListTest_NonIValueBasedList.givenEmptyList_whenIterating_thenBeginIsEnd (0 ms)
2022-05-18T03:46:26.4393359Z [ RUN      ] ListTest_NonIValueBasedList.whenIterating_thenFindsElements
2022-05-18T03:46:26.4393788Z [       OK ] ListTest_NonIValueBasedList.whenIterating_thenFindsElements (0 ms)
2022-05-18T03:46:26.4394261Z [ RUN      ] ListTest_NonIValueBasedList.whenIteratingWithForeach_thenFindsElements
2022-05-18T03:46:26.4394771Z [       OK ] ListTest_NonIValueBasedList.whenIteratingWithForeach_thenFindsElements (0 ms)
2022-05-18T03:46:26.4395281Z [ RUN      ] ListTest_NonIValueBasedList.givenOneElementList_whenErasing_thenListIsEmpty
2022-05-18T03:46:26.4395782Z [       OK ] ListTest_NonIValueBasedList.givenOneElementList_whenErasing_thenListIsEmpty (0 ms)
2022-05-18T03:46:26.4396264Z [ RUN      ] ListTest_NonIValueBasedList.givenList_whenErasing_thenReturnsIterator
2022-05-18T03:46:26.4396733Z [       OK ] ListTest_NonIValueBasedList.givenList_whenErasing_thenReturnsIterator (0 ms)
2022-05-18T03:46:26.4397181Z [ RUN      ] ListTest_NonIValueBasedList.givenList_whenErasingFullRange_thenIsEmpty
2022-05-18T03:46:26.4397655Z [       OK ] ListTest_NonIValueBasedList.givenList_whenErasingFullRange_thenIsEmpty (0 ms)
2022-05-18T03:46:26.4398117Z [ RUN      ] ListTest_NonIValueBasedList.whenCallingReserve_thenDoesntCrash
2022-05-18T03:46:26.4398580Z [       OK ] ListTest_NonIValueBasedList.whenCallingReserve_thenDoesntCrash (0 ms)
2022-05-18T03:46:26.4399039Z [ RUN      ] ListTest_NonIValueBasedList.whenCopyConstructingList_thenAreEqual
2022-05-18T03:46:26.4399535Z [       OK ] ListTest_NonIValueBasedList.whenCopyConstructingList_thenAreEqual (0 ms)
2022-05-18T03:46:26.4400008Z [ RUN      ] ListTest_NonIValueBasedList.whenCopyAssigningList_thenAreEqual
2022-05-18T03:46:26.4400537Z [       OK ] ListTest_NonIValueBasedList.whenCopyAssigningList_thenAreEqual (0 ms)
2022-05-18T03:46:26.4400981Z [ RUN      ] ListTest_NonIValueBasedList.whenCopyingList_thenAreEqual
2022-05-18T03:46:26.4401403Z [       OK ] ListTest_NonIValueBasedList.whenCopyingList_thenAreEqual (0 ms)
2022-05-18T03:46:26.4401876Z [ RUN      ] ListTest_NonIValueBasedList.whenMoveConstructingList_thenNewIsCorrect
2022-05-18T03:46:26.4402379Z [       OK ] ListTest_NonIValueBasedList.whenMoveConstructingList_thenNewIsCorrect (0 ms)
2022-05-18T03:46:26.4402851Z [ RUN      ] ListTest_NonIValueBasedList.whenMoveAssigningList_thenNewIsCorrect
2022-05-18T03:46:26.4403467Z [       OK ] ListTest_NonIValueBasedList.whenMoveAssigningList_thenNewIsCorrect (0 ms)
2022-05-18T03:46:26.4404041Z [ RUN      ] ListTest_NonIValueBasedList.whenMoveConstructingList_thenOldIsUnchanged
2022-05-18T03:46:26.4404558Z [       OK ] ListTest_NonIValueBasedList.whenMoveConstructingList_thenOldIsUnchanged (0 ms)
2022-05-18T03:46:26.4405043Z [ RUN      ] ListTest_NonIValueBasedList.whenMoveAssigningList_thenOldIsUnchanged
2022-05-18T03:46:26.4405540Z [       OK ] ListTest_NonIValueBasedList.whenMoveAssigningList_thenOldIsUnchanged (0 ms)
2022-05-18T03:46:26.4406108Z [ RUN      ] ListTest_NonIValueBasedList.givenIterator_whenPostfixIncrementing_thenMovesToNextAndReturnsOldPosition
2022-05-18T03:46:26.4406743Z [       OK ] ListTest_NonIValueBasedList.givenIterator_whenPostfixIncrementing_thenMovesToNextAndReturnsOldPosition (0 ms)
2022-05-18T03:46:26.4407353Z [ RUN      ] ListTest_NonIValueBasedList.givenIterator_whenPrefixIncrementing_thenMovesToNextAndReturnsNewPosition
2022-05-18T03:46:26.4408027Z [       OK ] ListTest_NonIValueBasedList.givenIterator_whenPrefixIncrementing_thenMovesToNextAndReturnsNewPosition (0 ms)
2022-05-18T03:46:26.4408644Z [ RUN      ] ListTest_NonIValueBasedList.givenIterator_whenPostfixDecrementing_thenMovesToNextAndReturnsOldPosition
2022-05-18T03:46:26.4409265Z [       OK ] ListTest_NonIValueBasedList.givenIterator_whenPostfixDecrementing_thenMovesToNextAndReturnsOldPosition (0 ms)
2022-05-18T03:46:26.4409866Z [ RUN      ] ListTest_NonIValueBasedList.givenIterator_whenPrefixDecrementing_thenMovesToNextAndReturnsNewPosition
2022-05-18T03:46:26.4410489Z [       OK ] ListTest_NonIValueBasedList.givenIterator_whenPrefixDecrementing_thenMovesToNextAndReturnsNewPosition (0 ms)
2022-05-18T03:46:26.4411084Z [ RUN      ] ListTest_NonIValueBasedList.givenIterator_whenIncreasing_thenMovesToNextAndReturnsNewPosition
2022-05-18T03:46:26.4411663Z [       OK ] ListTest_NonIValueBasedList.givenIterator_whenIncreasing_thenMovesToNextAndReturnsNewPosition (0 ms)
2022-05-18T03:46:26.4412253Z [ RUN      ] ListTest_NonIValueBasedList.givenIterator_whenDecreasing_thenMovesToNextAndReturnsNewPosition
2022-05-18T03:46:26.4412838Z [       OK ] ListTest_NonIValueBasedList.givenIterator_whenDecreasing_thenMovesToNextAndReturnsNewPosition (0 ms)
2022-05-18T03:46:26.4413376Z [ RUN      ] ListTest_NonIValueBasedList.givenIterator_whenAdding_thenReturnsNewIterator
2022-05-18T03:46:26.4413863Z [       OK ] ListTest_NonIValueBasedList.givenIterator_whenAdding_thenReturnsNewIterator (0 ms)
2022-05-18T03:46:26.4414367Z [ RUN      ] ListTest_NonIValueBasedList.givenIterator_whenSubtracting_thenReturnsNewIterator
2022-05-18T03:46:26.4414884Z [       OK ] ListTest_NonIValueBasedList.givenIterator_whenSubtracting_thenReturnsNewIterator (0 ms)
2022-05-18T03:46:26.4415432Z [ RUN      ] ListTest_NonIValueBasedList.givenIterator_whenCalculatingDifference_thenReturnsCorrectNumber
2022-05-18T03:46:26.4415992Z [       OK ] ListTest_NonIValueBasedList.givenIterator_whenCalculatingDifference_thenReturnsCorrectNumber (0 ms)
2022-05-18T03:46:26.4416495Z [ RUN      ] ListTest_NonIValueBasedList.givenEqualIterators_thenAreEqual
2022-05-18T03:46:26.4416955Z [       OK ] ListTest_NonIValueBasedList.givenEqualIterators_thenAreEqual (0 ms)
2022-05-18T03:46:26.4417432Z [ RUN      ] ListTest_NonIValueBasedList.givenDifferentIterators_thenAreNotEqual
2022-05-18T03:46:26.4417912Z [       OK ] ListTest_NonIValueBasedList.givenDifferentIterators_thenAreNotEqual (0 ms)
2022-05-18T03:46:26.4418435Z [ RUN      ] ListTest_NonIValueBasedList.givenIterator_whenDereferencing_thenPointsToCorrectElement
2022-05-18T03:46:26.4418981Z [       OK ] ListTest_NonIValueBasedList.givenIterator_whenDereferencing_thenPointsToCorrectElement (0 ms)
2022-05-18T03:46:26.4419493Z [ RUN      ] ListTest_NonIValueBasedList.givenIterator_whenAssigningNewValue_thenChangesValue
2022-05-18T03:46:26.4420063Z [       OK ] ListTest_NonIValueBasedList.givenIterator_whenAssigningNewValue_thenChangesValue (0 ms)
2022-05-18T03:46:26.4420611Z [ RUN      ] ListTest_NonIValueBasedList.givenIterator_whenAssigningNewValueFromIterator_thenChangesValue
2022-05-18T03:46:26.4421190Z [       OK ] ListTest_NonIValueBasedList.givenIterator_whenAssigningNewValueFromIterator_thenChangesValue (0 ms)
2022-05-18T03:46:26.4421742Z [ RUN      ] ListTest_NonIValueBasedList.givenIterator_whenSwappingValuesFromIterator_thenChangesValue
2022-05-18T03:46:26.4422306Z [       OK ] ListTest_NonIValueBasedList.givenIterator_whenSwappingValuesFromIterator_thenChangesValue (0 ms)
2022-05-18T03:46:26.4422839Z [ RUN      ] ListTest_NonIValueBasedList.givenOneElementList_whenCallingPopBack_thenIsEmpty
2022-05-18T03:46:26.4423364Z [       OK ] ListTest_NonIValueBasedList.givenOneElementList_whenCallingPopBack_thenIsEmpty (0 ms)
2022-05-18T03:46:26.4423928Z [ RUN      ] ListTest_NonIValueBasedList.givenEmptyList_whenCallingResize_thenResizesAndSetsEmptyValue
2022-05-18T03:46:26.4424492Z [       OK ] ListTest_NonIValueBasedList.givenEmptyList_whenCallingResize_thenResizesAndSetsEmptyValue (0 ms)
2022-05-18T03:46:26.4425131Z [ RUN      ] ListTest_NonIValueBasedList.givenEmptyList_whenCallingResizeWithValue_thenResizesAndSetsValue
2022-05-18T03:46:26.4425712Z [       OK ] ListTest_NonIValueBasedList.givenEmptyList_whenCallingResizeWithValue_thenResizesAndSetsValue (0 ms)
2022-05-18T03:46:26.4426159Z [ RUN      ] ListTest_NonIValueBasedList.isReferenceType
2022-05-18T03:46:26.4426555Z [       OK ] ListTest_NonIValueBasedList.isReferenceType (0 ms)
2022-05-18T03:46:26.4426970Z [ RUN      ] ListTest_NonIValueBasedList.copyHasSeparateStorage
2022-05-18T03:46:26.4427398Z [       OK ] ListTest_NonIValueBasedList.copyHasSeparateStorage (0 ms)
2022-05-18T03:46:26.4427838Z [ RUN      ] ListTest_NonIValueBasedList.givenEqualLists_thenIsEqual
2022-05-18T03:46:26.4428273Z [       OK ] ListTest_NonIValueBasedList.givenEqualLists_thenIsEqual (0 ms)
2022-05-18T03:46:26.4428725Z [ RUN      ] ListTest_NonIValueBasedList.givenDifferentLists_thenIsNotEqual
2022-05-18T03:46:26.4429180Z [       OK ] ListTest_NonIValueBasedList.givenDifferentLists_thenIsNotEqual (0 ms)
2022-05-18T03:46:26.4429602Z [ RUN      ] ListTest_NonIValueBasedList.isChecksIdentity
2022-05-18T03:46:26.4430005Z [       OK ] ListTest_NonIValueBasedList.isChecksIdentity (0 ms)
2022-05-18T03:46:26.4430460Z [ RUN      ] ListTest_NonIValueBasedList.sameValueDifferentStorage_thenIsReturnsFalse
2022-05-18T03:46:26.4430983Z [       OK ] ListTest_NonIValueBasedList.sameValueDifferentStorage_thenIsReturnsFalse (0 ms)
2022-05-18T03:46:26.4431446Z [----------] 68 tests from ListTest_NonIValueBasedList (0 ms total)
2022-05-18T03:46:26.4431636Z 
2022-05-18T03:46:26.4431785Z [----------] 4 tests from ListTest
2022-05-18T03:46:26.4432102Z [ RUN      ] ListTest.canAccessStringByReference
2022-05-18T03:46:26.4432476Z [       OK ] ListTest.canAccessStringByReference (0 ms)
2022-05-18T03:46:26.4432871Z [ RUN      ] ListTest.canAccessOptionalStringByReference
2022-05-18T03:46:26.4433283Z [       OK ] ListTest.canAccessOptionalStringByReference (0 ms)
2022-05-18T03:46:26.4433676Z [ RUN      ] ListTest.canAccessTensorByReference
2022-05-18T03:46:26.4434048Z [       OK ] ListTest.canAccessTensorByReference (0 ms)
2022-05-18T03:46:26.4434370Z [ RUN      ] ListTest.toTypedList
2022-05-18T03:46:26.4434655Z [       OK ] ListTest.toTypedList (0 ms)
2022-05-18T03:46:26.4434973Z [----------] 4 tests from ListTest (0 ms total)
2022-05-18T03:46:26.4435124Z 
2022-05-18T03:46:26.4435305Z [----------] Global test environment tear-down
2022-05-18T03:46:26.4435674Z [==========] 139 tests from 3 test suites ran. (2 ms total)
2022-05-18T03:46:26.4435951Z [  PASSED  ] 139 tests.
2022-05-18T03:46:26.4718218Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:26.4718579Z + case "$test" in
2022-05-18T03:46:26.4720801Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/MatchTest
2022-05-18T03:46:26.4727072Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:26.4727623Z + /opt/conda/lib/python3.7/site-packages/torch/test/MatchTest --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/MatchTest.xml
2022-05-18T03:46:26.6453627Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:26.6454403Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:46:26.6454740Z [----------] Global test environment set-up.
2022-05-18T03:46:26.6455033Z [----------] 1 test from Match
2022-05-18T03:46:26.6455287Z [ RUN      ] Match.Basic
2022-05-18T03:46:26.6455696Z [       OK ] Match.Basic (0 ms)
2022-05-18T03:46:26.6456051Z [----------] 1 test from Match (0 ms total)
2022-05-18T03:46:26.6456186Z 
2022-05-18T03:46:26.6456363Z [----------] Global test environment tear-down
2022-05-18T03:46:26.6456693Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-05-18T03:46:26.6456961Z [  PASSED  ] 1 test.
2022-05-18T03:46:26.6858552Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:26.6858830Z + case "$test" in
2022-05-18T03:46:26.6861173Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/NamedTensor_test
2022-05-18T03:46:26.6867066Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:26.6867650Z + /opt/conda/lib/python3.7/site-packages/torch/test/NamedTensor_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/NamedTensor_test.xml
2022-05-18T03:46:26.8568026Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:26.8568764Z [==========] Running 10 tests from 1 test suite.
2022-05-18T03:46:26.8569324Z [----------] Global test environment set-up.
2022-05-18T03:46:26.8569831Z [----------] 10 tests from NamedTensorTest
2022-05-18T03:46:26.8570365Z [ RUN      ] NamedTensorTest.isNamed
2022-05-18T03:46:26.8571204Z [W TensorImpl.h:1393] Warning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (function operator())
2022-05-18T03:46:26.8572040Z [       OK ] NamedTensorTest.isNamed (0 ms)
2022-05-18T03:46:26.8572356Z [ RUN      ] NamedTensorTest.attachMetadata
2022-05-18T03:46:26.8572704Z [       OK ] NamedTensorTest.attachMetadata (0 ms)
2022-05-18T03:46:26.8573085Z [ RUN      ] NamedTensorTest.internalSetNamesInplace
2022-05-18T03:46:26.8573486Z [       OK ] NamedTensorTest.internalSetNamesInplace (0 ms)
2022-05-18T03:46:26.8573817Z [ RUN      ] NamedTensorTest.empty
2022-05-18T03:46:26.8602277Z [       OK ] NamedTensorTest.empty (3 ms)
2022-05-18T03:46:26.8602894Z [ RUN      ] NamedTensorTest.dimnameToPosition
2022-05-18T03:46:26.8607738Z [       OK ] NamedTensorTest.dimnameToPosition (0 ms)
2022-05-18T03:46:26.8608332Z [ RUN      ] NamedTensorTest.unifyFromRight
2022-05-18T03:46:26.8661155Z [       OK ] NamedTensorTest.unifyFromRight (5 ms)
2022-05-18T03:46:26.8661668Z [ RUN      ] NamedTensorTest.alias
2022-05-18T03:46:26.8662107Z [       OK ] NamedTensorTest.alias (0 ms)
2022-05-18T03:46:26.8662423Z [ RUN      ] NamedTensorTest.NoNamesGuard
2022-05-18T03:46:26.8662757Z [       OK ] NamedTensorTest.NoNamesGuard (0 ms)
2022-05-18T03:46:26.8663299Z [ RUN      ] NamedTensorTest.TensorNamePrint
2022-05-18T03:46:26.8663656Z [       OK ] NamedTensorTest.TensorNamePrint (0 ms)
2022-05-18T03:46:26.8664032Z [ RUN      ] NamedTensorTest.TensorNamesCheckUnique
2022-05-18T03:46:26.8667667Z [       OK ] NamedTensorTest.TensorNamesCheckUnique (0 ms)
2022-05-18T03:46:26.8668172Z [----------] 10 tests from NamedTensorTest (9 ms total)
2022-05-18T03:46:26.8668346Z 
2022-05-18T03:46:26.8668536Z [----------] Global test environment tear-down
2022-05-18T03:46:26.8671053Z [==========] 10 tests from 1 test suite ran. (10 ms total)
2022-05-18T03:46:26.8671492Z [  PASSED  ] 10 tests.
2022-05-18T03:46:26.9062190Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:26.9062458Z + case "$test" in
2022-05-18T03:46:26.9064383Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/NeuralNetTest
2022-05-18T03:46:26.9070216Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:27.0783669Z + /opt/conda/lib/python3.7/site-packages/torch/test/NeuralNetTest --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/NeuralNetTest.xml
2022-05-18T03:46:27.0784228Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:27.0784649Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:46:27.0785166Z [----------] Global test environment set-up.
2022-05-18T03:46:27.0785480Z [----------] 1 test from NeuralNetGraph
2022-05-18T03:46:27.0785796Z [ RUN      ] NeuralNetGraph.ReplaceGraph
2022-05-18T03:46:27.0786132Z [       OK ] NeuralNetGraph.ReplaceGraph (0 ms)
2022-05-18T03:46:27.0786468Z [----------] 1 test from NeuralNetGraph (0 ms total)
2022-05-18T03:46:27.0786631Z 
2022-05-18T03:46:27.0786803Z [----------] Global test environment tear-down
2022-05-18T03:46:27.0787126Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-05-18T03:46:27.0787387Z [  PASSED  ] 1 test.
2022-05-18T03:46:27.1184797Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:27.1185118Z + case "$test" in
2022-05-18T03:46:27.1187825Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/SubgraphMatcherTest
2022-05-18T03:46:27.1192978Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:27.1193615Z + /opt/conda/lib/python3.7/site-packages/torch/test/SubgraphMatcherTest --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/SubgraphMatcherTest.xml
2022-05-18T03:46:27.2928159Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:27.2928924Z [==========] Running 8 tests from 1 test suite.
2022-05-18T03:46:27.2929233Z [----------] Global test environment set-up.
2022-05-18T03:46:27.2929573Z [----------] 8 tests from SubgraphMatcher
2022-05-18T03:46:27.2929907Z [ RUN      ] SubgraphMatcher.IsNodeMatch
2022-05-18T03:46:27.2930243Z [       OK ] SubgraphMatcher.IsNodeMatch (0 ms)
2022-05-18T03:46:27.2930573Z [ RUN      ] SubgraphMatcher.IsSubtreeMatch
2022-05-18T03:46:27.2930922Z [       OK ] SubgraphMatcher.IsSubtreeMatch (0 ms)
2022-05-18T03:46:27.2931289Z [ RUN      ] SubgraphMatcher.IsSubtreeMatchRepeated
2022-05-18T03:46:27.2931669Z [       OK ] SubgraphMatcher.IsSubtreeMatchRepeated (0 ms)
2022-05-18T03:46:27.2932025Z [ RUN      ] SubgraphMatcher.DagMatching
2022-05-18T03:46:27.2932357Z [       OK ] SubgraphMatcher.DagMatching (0 ms)
2022-05-18T03:46:27.2932701Z [ RUN      ] SubgraphMatcher.DagMatchingMultiEdges
2022-05-18T03:46:27.2933084Z [       OK ] SubgraphMatcher.DagMatchingMultiEdges (0 ms)
2022-05-18T03:46:27.2933487Z [ RUN      ] SubgraphMatcher.DagMatchingRandomLargeGraph
2022-05-18T03:46:27.3556126Z [       OK ] SubgraphMatcher.DagMatchingRandomLargeGraph (62 ms)
2022-05-18T03:46:27.3556902Z [ RUN      ] SubgraphMatcher.IsSubtreeMatchRealistic
2022-05-18T03:46:27.3569349Z [       OK ] SubgraphMatcher.IsSubtreeMatchRealistic (1 ms)
2022-05-18T03:46:27.3569962Z [ RUN      ] SubgraphMatcher.ReplaceGraphRealistic
2022-05-18T03:46:27.3570351Z [       OK ] SubgraphMatcher.ReplaceGraphRealistic (0 ms)
2022-05-18T03:46:27.3570751Z [----------] 8 tests from SubgraphMatcher (64 ms total)
2022-05-18T03:46:27.3570922Z 
2022-05-18T03:46:27.3571100Z [----------] Global test environment tear-down
2022-05-18T03:46:27.3599501Z [==========] 8 tests from 1 test suite ran. (64 ms total)
2022-05-18T03:46:27.3599783Z [  PASSED  ] 8 tests.
2022-05-18T03:46:27.4010069Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:27.4010318Z + case "$test" in
2022-05-18T03:46:27.4012651Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/TarjansImplTest
2022-05-18T03:46:27.4018814Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:27.4019598Z + /opt/conda/lib/python3.7/site-packages/torch/test/TarjansImplTest --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/TarjansImplTest.xml
2022-05-18T03:46:27.5732566Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:27.5733508Z [==========] Running 5 tests from 1 test suite.
2022-05-18T03:46:27.5734060Z [----------] Global test environment set-up.
2022-05-18T03:46:27.5734560Z [----------] 5 tests from Tarjans
2022-05-18T03:46:27.5735010Z [ RUN      ] Tarjans.Simple
2022-05-18T03:46:27.5735501Z [       OK ] Tarjans.Simple (0 ms)
2022-05-18T03:46:27.5735999Z [ RUN      ] Tarjans.WithEdgeStorage
2022-05-18T03:46:27.5736536Z [       OK ] Tarjans.WithEdgeStorage (0 ms)
2022-05-18T03:46:27.5737015Z [ RUN      ] Tarjans.DAG
2022-05-18T03:46:27.5737476Z [       OK ] Tarjans.DAG (0 ms)
2022-05-18T03:46:27.5737874Z [ RUN      ] Tarjans.Cycle
2022-05-18T03:46:27.5738151Z [       OK ] Tarjans.Cycle (0 ms)
2022-05-18T03:46:27.5738418Z [ RUN      ] Tarjans.Random
2022-05-18T03:46:27.5738675Z [       OK ] Tarjans.Random (0 ms)
2022-05-18T03:46:27.5738980Z [----------] 5 tests from Tarjans (0 ms total)
2022-05-18T03:46:27.5739136Z 
2022-05-18T03:46:27.5739311Z [----------] Global test environment tear-down
2022-05-18T03:46:27.5739634Z [==========] 5 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:46:27.5739888Z [  PASSED  ] 5 tests.
2022-05-18T03:46:27.6128214Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:27.6128500Z + case "$test" in
2022-05-18T03:46:27.6130063Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/TensorImpl_test
2022-05-18T03:46:27.6135889Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:27.6164261Z + /opt/conda/lib/python3.7/site-packages/torch/test/TensorImpl_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/TensorImpl_test.xml
2022-05-18T03:46:27.7849674Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:27.7850397Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:46:27.7850742Z [----------] Global test environment set-up.
2022-05-18T03:46:27.7851107Z [----------] 1 test from TensorImplTest
2022-05-18T03:46:27.7851439Z [ RUN      ] TensorImplTest.Caffe2Constructor
2022-05-18T03:46:27.7851800Z [       OK ] TensorImplTest.Caffe2Constructor (0 ms)
2022-05-18T03:46:27.7852148Z [----------] 1 test from TensorImplTest (0 ms total)
2022-05-18T03:46:27.7852313Z 
2022-05-18T03:46:27.7852491Z [----------] Global test environment tear-down
2022-05-18T03:46:27.7852823Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-05-18T03:46:27.7853237Z [  PASSED  ] 1 test.
2022-05-18T03:46:27.8246133Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:27.8246371Z + case "$test" in
2022-05-18T03:46:27.8249025Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/TopoSortTest
2022-05-18T03:46:27.8254502Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:27.8255041Z + /opt/conda/lib/python3.7/site-packages/torch/test/TopoSortTest --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/TopoSortTest.xml
2022-05-18T03:46:27.9962675Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:27.9963660Z [==========] Running 4 tests from 1 test suite.
2022-05-18T03:46:27.9964151Z [----------] Global test environment set-up.
2022-05-18T03:46:27.9964487Z [----------] 4 tests from TopoSort
2022-05-18T03:46:27.9964805Z [ RUN      ] TopoSort.Simple
2022-05-18T03:46:27.9965098Z [       OK ] TopoSort.Simple (0 ms)
2022-05-18T03:46:27.9965556Z [ RUN      ] TopoSort.DAG
2022-05-18T03:46:27.9965904Z [       OK ] TopoSort.DAG (0 ms)
2022-05-18T03:46:27.9966182Z [ RUN      ] TopoSort.Cycle1
2022-05-18T03:46:27.9966524Z [       OK ] TopoSort.Cycle1 (0 ms)
2022-05-18T03:46:27.9966795Z [ RUN      ] TopoSort.Cycle2
2022-05-18T03:46:27.9967143Z [       OK ] TopoSort.Cycle2 (0 ms)
2022-05-18T03:46:27.9967441Z [----------] 4 tests from TopoSort (0 ms total)
2022-05-18T03:46:27.9967597Z 
2022-05-18T03:46:27.9967795Z [----------] Global test environment tear-down
2022-05-18T03:46:27.9968184Z [==========] 4 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:46:27.9968445Z [  PASSED  ] 4 tests.
2022-05-18T03:46:28.0350741Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:28.0351174Z + case "$test" in
2022-05-18T03:46:28.0353490Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/apply_utils_test
2022-05-18T03:46:28.0359452Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:28.0360339Z + /opt/conda/lib/python3.7/site-packages/torch/test/apply_utils_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/apply_utils_test.xml
2022-05-18T03:46:28.2062542Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:28.2063368Z [==========] Running 6 tests from 1 test suite.
2022-05-18T03:46:28.2063705Z [----------] Global test environment set-up.
2022-05-18T03:46:28.2064021Z [----------] 6 tests from ApplyUtilsTest
2022-05-18T03:46:28.2064327Z [ RUN      ] ApplyUtilsTest.Contiguous2D
2022-05-18T03:46:28.2269692Z [       OK ] ApplyUtilsTest.Contiguous2D (20 ms)
2022-05-18T03:46:28.2270056Z [ RUN      ] ApplyUtilsTest.Small2D
2022-05-18T03:46:28.2270480Z [       OK ] ApplyUtilsTest.Small2D (0 ms)
2022-05-18T03:46:28.2270763Z [ RUN      ] ApplyUtilsTest._2D
2022-05-18T03:46:28.2278211Z [       OK ] ApplyUtilsTest._2D (0 ms)
2022-05-18T03:46:28.2278576Z [ RUN      ] ApplyUtilsTest._3D
2022-05-18T03:46:28.2279575Z [       OK ] ApplyUtilsTest._3D (0 ms)
2022-05-18T03:46:28.2279955Z [ RUN      ] ApplyUtilsTest.Medium3D
2022-05-18T03:46:28.2289527Z [       OK ] ApplyUtilsTest.Medium3D (0 ms)
2022-05-18T03:46:28.2289818Z [ RUN      ] ApplyUtilsTest._10D
2022-05-18T03:46:28.2889797Z [       OK ] ApplyUtilsTest._10D (59 ms)
2022-05-18T03:46:28.2890398Z [----------] 6 tests from ApplyUtilsTest (82 ms total)
2022-05-18T03:46:28.2890657Z 
2022-05-18T03:46:28.2890914Z [----------] Global test environment tear-down
2022-05-18T03:46:28.2891566Z [==========] 6 tests from 1 test suite ran. (82 ms total)
2022-05-18T03:46:28.2891943Z [  PASSED  ] 6 tests.
2022-05-18T03:46:28.3291535Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:28.3291817Z + case "$test" in
2022-05-18T03:46:28.3293637Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/atest
2022-05-18T03:46:28.3298960Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:28.3299468Z + /opt/conda/lib/python3.7/site-packages/torch/test/atest --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/atest.xml
2022-05-18T03:46:28.5007890Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:28.5008475Z [==========] Running 16 tests from 1 test suite.
2022-05-18T03:46:28.5008851Z [----------] Global test environment set-up.
2022-05-18T03:46:28.5009145Z [----------] 16 tests from atest
2022-05-18T03:46:28.5009403Z [ RUN      ] atest.operators
2022-05-18T03:46:28.5012811Z [       OK ] atest.operators (0 ms)
2022-05-18T03:46:28.5013142Z [ RUN      ] atest.logical_and_operators
2022-05-18T03:46:28.5014710Z [       OK ] atest.logical_and_operators (0 ms)
2022-05-18T03:46:28.5015150Z [ RUN      ] atest.logical_or_operators
2022-05-18T03:46:28.5015554Z [       OK ] atest.logical_or_operators (0 ms)
2022-05-18T03:46:28.5015894Z [ RUN      ] atest.logical_xor_operators
2022-05-18T03:46:28.5017244Z [       OK ] atest.logical_xor_operators (0 ms)
2022-05-18T03:46:28.5017772Z [ RUN      ] atest.lt_operators
2022-05-18T03:46:28.5018075Z [       OK ] atest.lt_operators (0 ms)
2022-05-18T03:46:28.5018447Z [ RUN      ] atest.le_operators
2022-05-18T03:46:28.5018774Z [       OK ] atest.le_operators (0 ms)
2022-05-18T03:46:28.5019045Z [ RUN      ] atest.gt_operators
2022-05-18T03:46:28.5019405Z [       OK ] atest.gt_operators (0 ms)
2022-05-18T03:46:28.5019662Z [ RUN      ] atest.ge_operators
2022-05-18T03:46:28.5019944Z [       OK ] atest.ge_operators (0 ms)
2022-05-18T03:46:28.5020285Z [ RUN      ] atest.eq_operators
2022-05-18T03:46:28.5020600Z [       OK ] atest.eq_operators (0 ms)
2022-05-18T03:46:28.5021022Z [ RUN      ] atest.ne_operators
2022-05-18T03:46:28.5021326Z [       OK ] atest.ne_operators (0 ms)
2022-05-18T03:46:28.5021636Z [ RUN      ] atest.add_operators
2022-05-18T03:46:28.5021994Z [       OK ] atest.add_operators (0 ms)
2022-05-18T03:46:28.5022311Z [ RUN      ] atest.max_operators
2022-05-18T03:46:28.5022673Z [       OK ] atest.max_operators (0 ms)
2022-05-18T03:46:28.5022979Z [ RUN      ] atest.min_operators
2022-05-18T03:46:28.5023277Z [       OK ] atest.min_operators (0 ms)
2022-05-18T03:46:28.5023647Z [ RUN      ] atest.sigmoid_backward_operator
2022-05-18T03:46:28.5023994Z [       OK ] atest.sigmoid_backward_operator (0 ms)
2022-05-18T03:46:28.5024483Z [ RUN      ] atest.fmod_tensor_operators
2022-05-18T03:46:28.5025116Z [       OK ] atest.fmod_tensor_operators (0 ms)
2022-05-18T03:46:28.5025401Z [ RUN      ] atest.atest
2022-05-18T03:46:28.5059702Z [       OK ] atest.atest (3 ms)
2022-05-18T03:46:28.5060074Z [----------] 16 tests from atest (5 ms total)
2022-05-18T03:46:28.5060229Z 
2022-05-18T03:46:28.5060407Z [----------] Global test environment tear-down
2022-05-18T03:46:28.5063361Z [==========] 16 tests from 1 test suite ran. (5 ms total)
2022-05-18T03:46:28.5063714Z [  PASSED  ] 16 tests.
2022-05-18T03:46:28.5462382Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:28.5462645Z + case "$test" in
2022-05-18T03:46:28.5464157Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/backend_cutting_test
2022-05-18T03:46:28.5470249Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:28.5470803Z + /opt/conda/lib/python3.7/site-packages/torch/test/backend_cutting_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/backend_cutting_test.xml
2022-05-18T03:46:28.7187054Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:28.7187893Z [==========] Running 4 tests from 1 test suite.
2022-05-18T03:46:28.7188434Z [----------] Global test environment set-up.
2022-05-18T03:46:28.7188779Z [----------] 4 tests from BackendCuttingTest
2022-05-18T03:46:28.7189148Z [ RUN      ] BackendCuttingTest.unit
2022-05-18T03:46:28.7189451Z [       OK ] BackendCuttingTest.unit (0 ms)
2022-05-18T03:46:28.7189834Z [ RUN      ] BackendCuttingTest.line
2022-05-18T03:46:28.7190148Z [       OK ] BackendCuttingTest.line (0 ms)
2022-05-18T03:46:28.7190586Z [ RUN      ] BackendCuttingTest.convergedPaths
2022-05-18T03:46:28.7191060Z [       OK ] BackendCuttingTest.convergedPaths (0 ms)
2022-05-18T03:46:28.7191470Z [ RUN      ] BackendCuttingTest.skipPath
2022-05-18T03:46:28.7192098Z [       OK ] BackendCuttingTest.skipPath (0 ms)
2022-05-18T03:46:28.7192451Z [----------] 4 tests from BackendCuttingTest (0 ms total)
2022-05-18T03:46:28.7192624Z 
2022-05-18T03:46:28.7192802Z [----------] Global test environment tear-down
2022-05-18T03:46:28.7194376Z [==========] 4 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:46:28.7194730Z [  PASSED  ] 4 tests.
2022-05-18T03:46:28.7587155Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:28.7587539Z + case "$test" in
2022-05-18T03:46:28.7590356Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/backend_fallback_test
2022-05-18T03:46:28.7595924Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:28.7596523Z + /opt/conda/lib/python3.7/site-packages/torch/test/backend_fallback_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/backend_fallback_test.xml
2022-05-18T03:46:28.9315802Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:28.9316357Z [==========] Running 3 tests from 1 test suite.
2022-05-18T03:46:28.9316661Z [----------] Global test environment set-up.
2022-05-18T03:46:28.9316995Z [----------] 3 tests from BackendFallbackTest
2022-05-18T03:46:28.9317382Z [ RUN      ] BackendFallbackTest.TestBackendFallbackWithMode
2022-05-18T03:46:28.9365590Z [       OK ] BackendFallbackTest.TestBackendFallbackWithMode (4 ms)
2022-05-18T03:46:28.9381509Z [ RUN      ] BackendFallbackTest.TestBackendFallbackWithWrapper
2022-05-18T03:46:28.9382422Z [       OK ] BackendFallbackTest.TestBackendFallbackWithWrapper (1 ms)
2022-05-18T03:46:28.9383287Z [ RUN      ] BackendFallbackTest.TestFallthroughBackendFallback
2022-05-18T03:46:28.9394828Z [       OK ] BackendFallbackTest.TestFallthroughBackendFallback (1 ms)
2022-05-18T03:46:28.9395598Z [----------] 3 tests from BackendFallbackTest (7 ms total)
2022-05-18T03:46:28.9395887Z 
2022-05-18T03:46:28.9396373Z [----------] Global test environment tear-down
2022-05-18T03:46:28.9397081Z [==========] 3 tests from 1 test suite ran. (7 ms total)
2022-05-18T03:46:28.9397510Z [  PASSED  ] 3 tests.
2022-05-18T03:46:28.9812820Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:28.9813182Z + case "$test" in
2022-05-18T03:46:28.9813486Z + [[ linux-xenial-py3.7-clang7-onnx == *rocm* ]]
2022-05-18T03:46:28.9813852Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:28.9814205Z + /opt/conda/lib/python3.7/site-packages/torch/test/basic
2022-05-18T03:46:29.1524572Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:29.1525075Z [==========] Running 4 tests from 1 test suite.
2022-05-18T03:46:29.1525651Z [----------] Global test environment set-up.
2022-05-18T03:46:29.1526042Z [----------] 4 tests from BasicTest
2022-05-18T03:46:29.1526325Z [ RUN      ] BasicTest.BasicTestCPU
2022-05-18T03:46:29.1617556Z    4 ms
2022-05-18T03:46:29.2215762Z    59 ms
2022-05-18T03:46:29.3145379Z    92 ms
2022-05-18T03:46:29.3236391Z [       OK ] BasicTest.BasicTestCPU (171 ms)
2022-05-18T03:46:29.3237724Z [ RUN      ] BasicTest.BasicTestHalfCPU
2022-05-18T03:46:29.3254862Z    1 ms
2022-05-18T03:46:29.4056854Z    79 ms
2022-05-18T03:46:29.5189959Z    113 ms
2022-05-18T03:46:29.5275095Z [       OK ] BasicTest.BasicTestHalfCPU (203 ms)
2022-05-18T03:46:29.5275713Z [ RUN      ] BasicTest.BasicTestCUDA
2022-05-18T03:46:29.5276180Z [       OK ] BasicTest.BasicTestCUDA (0 ms)
2022-05-18T03:46:29.5276668Z [ RUN      ] BasicTest.FactoryMethodsTest
2022-05-18T03:46:29.5277138Z [       OK ] BasicTest.FactoryMethodsTest (0 ms)
2022-05-18T03:46:29.5277512Z [----------] 4 tests from BasicTest (375 ms total)
2022-05-18T03:46:29.5277681Z 
2022-05-18T03:46:29.5278169Z [----------] Global test environment tear-down
2022-05-18T03:46:29.5278520Z [==========] 4 tests from 1 test suite ran. (375 ms total)
2022-05-18T03:46:29.5278859Z [  PASSED  ] 4 tests.
2022-05-18T03:46:29.5704807Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:29.5705097Z + case "$test" in
2022-05-18T03:46:29.5706680Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/batch_matmul_op_test
2022-05-18T03:46:29.5711962Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:29.5712582Z + /opt/conda/lib/python3.7/site-packages/torch/test/batch_matmul_op_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/batch_matmul_op_test.xml
2022-05-18T03:46:29.7420243Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:29.7420866Z [==========] Running 2 tests from 1 test suite.
2022-05-18T03:46:29.7421348Z [----------] Global test environment set-up.
2022-05-18T03:46:29.7421758Z [----------] 2 tests from BatchMatMulOpTest
2022-05-18T03:46:29.7422112Z [ RUN      ] BatchMatMulOpTest.BatchMatMulOpNormalTest
2022-05-18T03:46:29.7422559Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:46:29.7467974Z [       OK ] BatchMatMulOpTest.BatchMatMulOpNormalTest (4 ms)
2022-05-18T03:46:29.7468647Z [ RUN      ] BatchMatMulOpTest.BatchMatMulOpBroadcastTest
2022-05-18T03:46:29.7469266Z [       OK ] BatchMatMulOpTest.BatchMatMulOpBroadcastTest (0 ms)
2022-05-18T03:46:29.7469860Z [----------] 2 tests from BatchMatMulOpTest (4 ms total)
2022-05-18T03:46:29.7470108Z 
2022-05-18T03:46:29.7470363Z [----------] Global test environment tear-down
2022-05-18T03:46:29.7470842Z [==========] 2 tests from 1 test suite ran. (4 ms total)
2022-05-18T03:46:29.7471224Z [  PASSED  ] 2 tests.
2022-05-18T03:46:29.7893487Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:29.7893846Z + case "$test" in
2022-05-18T03:46:29.7894739Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/blob_test
2022-05-18T03:46:29.7899933Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:29.7900459Z + /opt/conda/lib/python3.7/site-packages/torch/test/blob_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/blob_test.xml
2022-05-18T03:46:29.9619292Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:29.9620106Z [==========] Running 102 tests from 26 test suites.
2022-05-18T03:46:29.9620653Z [----------] Global test environment set-up.
2022-05-18T03:46:29.9621273Z [----------] 2 tests from TensorCPUDeathTest/0, where TypeParam = char
2022-05-18T03:46:29.9622310Z [ RUN      ] TensorCPUDeathTest/0.CannotAccessRawDataWhenEmpty
2022-05-18T03:46:29.9623066Z [       OK ] TensorCPUDeathTest/0.CannotAccessRawDataWhenEmpty (0 ms)
2022-05-18T03:46:29.9623792Z [ RUN      ] TensorCPUDeathTest/0.CannotAccessDataWhenEmpty
2022-05-18T03:46:29.9625901Z [       OK ] TensorCPUDeathTest/0.CannotAccessDataWhenEmpty (0 ms)
2022-05-18T03:46:29.9626592Z [----------] 2 tests from TensorCPUDeathTest/0 (0 ms total)
2022-05-18T03:46:29.9626905Z 
2022-05-18T03:46:29.9627313Z [----------] 2 tests from TensorCPUDeathTest/1, where TypeParam = int
2022-05-18T03:46:29.9628029Z [ RUN      ] TensorCPUDeathTest/1.CannotAccessRawDataWhenEmpty
2022-05-18T03:46:29.9628771Z [       OK ] TensorCPUDeathTest/1.CannotAccessRawDataWhenEmpty (0 ms)
2022-05-18T03:46:29.9629495Z [ RUN      ] TensorCPUDeathTest/1.CannotAccessDataWhenEmpty
2022-05-18T03:46:29.9630344Z [       OK ] TensorCPUDeathTest/1.CannotAccessDataWhenEmpty (0 ms)
2022-05-18T03:46:29.9631187Z [----------] 2 tests from TensorCPUDeathTest/1 (0 ms total)
2022-05-18T03:46:29.9631485Z 
2022-05-18T03:46:29.9631899Z [----------] 2 tests from TensorCPUDeathTest/2, where TypeParam = float
2022-05-18T03:46:29.9632618Z [ RUN      ] TensorCPUDeathTest/2.CannotAccessRawDataWhenEmpty
2022-05-18T03:46:29.9633365Z [       OK ] TensorCPUDeathTest/2.CannotAccessRawDataWhenEmpty (0 ms)
2022-05-18T03:46:29.9634048Z [ RUN      ] TensorCPUDeathTest/2.CannotAccessDataWhenEmpty
2022-05-18T03:46:29.9635020Z [       OK ] TensorCPUDeathTest/2.CannotAccessDataWhenEmpty (0 ms)
2022-05-18T03:46:29.9635705Z [----------] 2 tests from TensorCPUDeathTest/2 (0 ms total)
2022-05-18T03:46:29.9636007Z 
2022-05-18T03:46:29.9636272Z [----------] 1 test from TensorDeathTest
2022-05-18T03:46:29.9636879Z [ RUN      ] TensorDeathTest.CannotCastDownLargeDims
2022-05-18T03:46:29.9637603Z [       OK ] TensorDeathTest.CannotCastDownLargeDims (0 ms)
2022-05-18T03:46:29.9638280Z [----------] 1 test from TensorDeathTest (0 ms total)
2022-05-18T03:46:29.9638584Z 
2022-05-18T03:46:29.9638841Z [----------] 10 tests from BlobTest
2022-05-18T03:46:29.9639283Z [ RUN      ] BlobTest.Blob
2022-05-18T03:46:29.9639742Z [       OK ] BlobTest.Blob (0 ms)
2022-05-18T03:46:29.9640258Z [ RUN      ] BlobTest.BlobUninitialized
2022-05-18T03:46:29.9640829Z [       OK ] BlobTest.BlobUninitialized (0 ms)
2022-05-18T03:46:29.9641383Z [ RUN      ] BlobTest.BlobWrongType
2022-05-18T03:46:29.9642800Z [       OK ] BlobTest.BlobWrongType (0 ms)
2022-05-18T03:46:29.9643534Z [ RUN      ] BlobTest.BlobReset
2022-05-18T03:46:29.9644031Z [       OK ] BlobTest.BlobReset (0 ms)
2022-05-18T03:46:29.9644517Z [ RUN      ] BlobTest.BlobMove
2022-05-18T03:46:29.9645556Z [       OK ] BlobTest.BlobMove (0 ms)
2022-05-18T03:46:29.9646103Z [ RUN      ] BlobTest.BlobNonConstructible
2022-05-18T03:46:29.9648675Z [       OK ] BlobTest.BlobNonConstructible (0 ms)
2022-05-18T03:46:29.9649318Z [ RUN      ] BlobTest.BlobShareExternalPointer
2022-05-18T03:46:29.9649966Z [       OK ] BlobTest.BlobShareExternalPointer (0 ms)
2022-05-18T03:46:29.9650344Z [ RUN      ] BlobTest.BlobShareExternalObject
2022-05-18T03:46:29.9650880Z [       OK ] BlobTest.BlobShareExternalObject (0 ms)
2022-05-18T03:46:29.9651465Z [ RUN      ] BlobTest.StringSerialization
2022-05-18T03:46:29.9651857Z [       OK ] BlobTest.StringSerialization (0 ms)
2022-05-18T03:46:29.9652174Z [ RUN      ] BlobTest.CastingMessage
2022-05-18T03:46:29.9652484Z [       OK ] BlobTest.CastingMessage (0 ms)
2022-05-18T03:46:29.9652834Z [----------] 10 tests from BlobTest (1 ms total)
2022-05-18T03:46:29.9653020Z 
2022-05-18T03:46:29.9653506Z [----------] 2 tests from TensorNonTypedTest
2022-05-18T03:46:29.9654030Z [ RUN      ] TensorNonTypedTest.TensorChangeType
2022-05-18T03:46:29.9654547Z [       OK ] TensorNonTypedTest.TensorChangeType (0 ms)
2022-05-18T03:46:29.9655170Z [ RUN      ] TensorNonTypedTest.NonDefaultConstructible
2022-05-18T03:46:29.9655885Z [       OK ] TensorNonTypedTest.NonDefaultConstructible (0 ms)
2022-05-18T03:46:29.9656544Z [----------] 2 tests from TensorNonTypedTest (0 ms total)
2022-05-18T03:46:29.9656823Z 
2022-05-18T03:46:29.9657211Z [----------] 13 tests from TensorCPUTest/0, where TypeParam = char
2022-05-18T03:46:29.9657784Z [ RUN      ] TensorCPUTest/0.TensorInitializedEmpty
2022-05-18T03:46:29.9658346Z [       OK ] TensorCPUTest/0.TensorInitializedEmpty (0 ms)
2022-05-18T03:46:29.9658915Z [ RUN      ] TensorCPUTest/0.TensorInitializedNonEmpty
2022-05-18T03:46:29.9659418Z [       OK ] TensorCPUTest/0.TensorInitializedNonEmpty (0 ms)
2022-05-18T03:46:29.9659960Z [ RUN      ] TensorCPUTest/0.TensorInitializedZeroDim
2022-05-18T03:46:29.9660511Z [       OK ] TensorCPUTest/0.TensorInitializedZeroDim (0 ms)
2022-05-18T03:46:29.9661065Z [ RUN      ] TensorCPUTest/0.TensorResizeZeroDim
2022-05-18T03:46:29.9661652Z [       OK ] TensorCPUTest/0.TensorResizeZeroDim (0 ms)
2022-05-18T03:46:29.9662260Z [ RUN      ] TensorCPUTest/0.TensorInitializedScalar
2022-05-18T03:46:29.9662862Z [       OK ] TensorCPUTest/0.TensorInitializedScalar (0 ms)
2022-05-18T03:46:29.9663425Z [ RUN      ] TensorCPUTest/0.TensorAlias
2022-05-18T03:46:29.9663970Z [       OK ] TensorCPUTest/0.TensorAlias (0 ms)
2022-05-18T03:46:29.9664569Z [ RUN      ] TensorCPUTest/0.TensorShareDataRawPointer
2022-05-18T03:46:29.9665257Z [       OK ] TensorCPUTest/0.TensorShareDataRawPointer (0 ms)
2022-05-18T03:46:29.9665971Z [ RUN      ] TensorCPUTest/0.TensorShareDataRawPointerWithMeta
2022-05-18T03:46:29.9666774Z [       OK ] TensorCPUTest/0.TensorShareDataRawPointerWithMeta (0 ms)
2022-05-18T03:46:29.9667478Z [ RUN      ] TensorCPUTest/0.TensorAliasCanUseDifferentShapes
2022-05-18T03:46:29.9668130Z [       OK ] TensorCPUTest/0.TensorAliasCanUseDifferentShapes (0 ms)
2022-05-18T03:46:29.9668778Z [ RUN      ] TensorCPUTest/0.NoLongerAliassAfterNumelChanges
2022-05-18T03:46:29.9669425Z [       OK ] TensorCPUTest/0.NoLongerAliassAfterNumelChanges (0 ms)
2022-05-18T03:46:29.9670121Z [ RUN      ] TensorCPUTest/0.NoLongerAliasAfterFreeMemory
2022-05-18T03:46:29.9670513Z [       OK ] TensorCPUTest/0.NoLongerAliasAfterFreeMemory (0 ms)
2022-05-18T03:46:29.9670854Z [ RUN      ] TensorCPUTest/0.KeepOnShrink
2022-05-18T03:46:29.9671168Z [       OK ] TensorCPUTest/0.KeepOnShrink (0 ms)
2022-05-18T03:46:29.9671474Z [ RUN      ] TensorCPUTest/0.MaxKeepOnShrink
2022-05-18T03:46:29.9671807Z [       OK ] TensorCPUTest/0.MaxKeepOnShrink (0 ms)
2022-05-18T03:46:29.9672153Z [----------] 13 tests from TensorCPUTest/0 (0 ms total)
2022-05-18T03:46:29.9672317Z 
2022-05-18T03:46:29.9672520Z [----------] 13 tests from TensorCPUTest/1, where TypeParam = int
2022-05-18T03:46:29.9672885Z [ RUN      ] TensorCPUTest/1.TensorInitializedEmpty
2022-05-18T03:46:29.9673245Z [       OK ] TensorCPUTest/1.TensorInitializedEmpty (0 ms)
2022-05-18T03:46:29.9673603Z [ RUN      ] TensorCPUTest/1.TensorInitializedNonEmpty
2022-05-18T03:46:29.9673961Z [       OK ] TensorCPUTest/1.TensorInitializedNonEmpty (0 ms)
2022-05-18T03:46:29.9674323Z [ RUN      ] TensorCPUTest/1.TensorInitializedZeroDim
2022-05-18T03:46:29.9674686Z [       OK ] TensorCPUTest/1.TensorInitializedZeroDim (0 ms)
2022-05-18T03:46:29.9675020Z [ RUN      ] TensorCPUTest/1.TensorResizeZeroDim
2022-05-18T03:46:29.9675443Z [       OK ] TensorCPUTest/1.TensorResizeZeroDim (0 ms)
2022-05-18T03:46:29.9675791Z [ RUN      ] TensorCPUTest/1.TensorInitializedScalar
2022-05-18T03:46:29.9676142Z [       OK ] TensorCPUTest/1.TensorInitializedScalar (0 ms)
2022-05-18T03:46:29.9676471Z [ RUN      ] TensorCPUTest/1.TensorAlias
2022-05-18T03:46:29.9676781Z [       OK ] TensorCPUTest/1.TensorAlias (0 ms)
2022-05-18T03:46:29.9677121Z [ RUN      ] TensorCPUTest/1.TensorShareDataRawPointer
2022-05-18T03:46:29.9677481Z [       OK ] TensorCPUTest/1.TensorShareDataRawPointer (0 ms)
2022-05-18T03:46:29.9677873Z [ RUN      ] TensorCPUTest/1.TensorShareDataRawPointerWithMeta
2022-05-18T03:46:29.9678291Z [       OK ] TensorCPUTest/1.TensorShareDataRawPointerWithMeta (0 ms)
2022-05-18T03:46:29.9678686Z [ RUN      ] TensorCPUTest/1.TensorAliasCanUseDifferentShapes
2022-05-18T03:46:29.9679092Z [       OK ] TensorCPUTest/1.TensorAliasCanUseDifferentShapes (0 ms)
2022-05-18T03:46:29.9679496Z [ RUN      ] TensorCPUTest/1.NoLongerAliassAfterNumelChanges
2022-05-18T03:46:29.9679939Z [       OK ] TensorCPUTest/1.NoLongerAliassAfterNumelChanges (0 ms)
2022-05-18T03:46:29.9680315Z [ RUN      ] TensorCPUTest/1.NoLongerAliasAfterFreeMemory
2022-05-18T03:46:29.9680703Z [       OK ] TensorCPUTest/1.NoLongerAliasAfterFreeMemory (0 ms)
2022-05-18T03:46:29.9681042Z [ RUN      ] TensorCPUTest/1.KeepOnShrink
2022-05-18T03:46:29.9681347Z [       OK ] TensorCPUTest/1.KeepOnShrink (0 ms)
2022-05-18T03:46:29.9681665Z [ RUN      ] TensorCPUTest/1.MaxKeepOnShrink
2022-05-18T03:46:29.9681990Z [       OK ] TensorCPUTest/1.MaxKeepOnShrink (0 ms)
2022-05-18T03:46:29.9682326Z [----------] 13 tests from TensorCPUTest/1 (0 ms total)
2022-05-18T03:46:29.9682490Z 
2022-05-18T03:46:29.9682710Z [----------] 13 tests from TensorCPUTest/2, where TypeParam = float
2022-05-18T03:46:29.9683453Z [ RUN      ] TensorCPUTest/2.TensorInitializedEmpty
2022-05-18T03:46:29.9683816Z [       OK ] TensorCPUTest/2.TensorInitializedEmpty (0 ms)
2022-05-18T03:46:29.9684170Z [ RUN      ] TensorCPUTest/2.TensorInitializedNonEmpty
2022-05-18T03:46:29.9684539Z [       OK ] TensorCPUTest/2.TensorInitializedNonEmpty (0 ms)
2022-05-18T03:46:29.9684901Z [ RUN      ] TensorCPUTest/2.TensorInitializedZeroDim
2022-05-18T03:46:29.9685268Z [       OK ] TensorCPUTest/2.TensorInitializedZeroDim (0 ms)
2022-05-18T03:46:29.9685601Z [ RUN      ] TensorCPUTest/2.TensorResizeZeroDim
2022-05-18T03:46:29.9685947Z [       OK ] TensorCPUTest/2.TensorResizeZeroDim (0 ms)
2022-05-18T03:46:29.9686292Z [ RUN      ] TensorCPUTest/2.TensorInitializedScalar
2022-05-18T03:46:29.9686638Z [       OK ] TensorCPUTest/2.TensorInitializedScalar (0 ms)
2022-05-18T03:46:29.9686966Z [ RUN      ] TensorCPUTest/2.TensorAlias
2022-05-18T03:46:29.9687277Z [       OK ] TensorCPUTest/2.TensorAlias (0 ms)
2022-05-18T03:46:29.9687606Z [ RUN      ] TensorCPUTest/2.TensorShareDataRawPointer
2022-05-18T03:46:29.9687975Z [       OK ] TensorCPUTest/2.TensorShareDataRawPointer (0 ms)
2022-05-18T03:46:29.9688363Z [ RUN      ] TensorCPUTest/2.TensorShareDataRawPointerWithMeta
2022-05-18T03:46:29.9688777Z [       OK ] TensorCPUTest/2.TensorShareDataRawPointerWithMeta (0 ms)
2022-05-18T03:46:29.9689167Z [ RUN      ] TensorCPUTest/2.TensorAliasCanUseDifferentShapes
2022-05-18T03:46:29.9689575Z [       OK ] TensorCPUTest/2.TensorAliasCanUseDifferentShapes (0 ms)
2022-05-18T03:46:29.9689977Z [ RUN      ] TensorCPUTest/2.NoLongerAliassAfterNumelChanges
2022-05-18T03:46:29.9690365Z [       OK ] TensorCPUTest/2.NoLongerAliassAfterNumelChanges (0 ms)
2022-05-18T03:46:29.9690752Z [ RUN      ] TensorCPUTest/2.NoLongerAliasAfterFreeMemory
2022-05-18T03:46:29.9691138Z [       OK ] TensorCPUTest/2.NoLongerAliasAfterFreeMemory (0 ms)
2022-05-18T03:46:29.9691560Z [ RUN      ] TensorCPUTest/2.KeepOnShrink
2022-05-18T03:46:29.9691869Z [       OK ] TensorCPUTest/2.KeepOnShrink (0 ms)
2022-05-18T03:46:29.9692187Z [ RUN      ] TensorCPUTest/2.MaxKeepOnShrink
2022-05-18T03:46:29.9692514Z [       OK ] TensorCPUTest/2.MaxKeepOnShrink (0 ms)
2022-05-18T03:46:29.9692847Z [----------] 13 tests from TensorCPUTest/2 (0 ms total)
2022-05-18T03:46:29.9693012Z 
2022-05-18T03:46:29.9693170Z [----------] 17 tests from TensorTest
2022-05-18T03:46:29.9693497Z [ RUN      ] TensorTest.TensorNonFundamentalType
2022-05-18T03:46:29.9693871Z [       OK ] TensorTest.TensorNonFundamentalType (0 ms)
2022-05-18T03:46:29.9694244Z [ RUN      ] TensorTest.TensorNonFundamentalTypeClone
2022-05-18T03:46:29.9694646Z [       OK ] TensorTest.TensorNonFundamentalTypeClone (0 ms)
2022-05-18T03:46:29.9695020Z [ RUN      ] TensorTest.Tensor64BitDimension
2022-05-18T03:46:29.9695354Z [       OK ] TensorTest.Tensor64BitDimension (0 ms)
2022-05-18T03:46:29.9695722Z [ RUN      ] TensorTest.UndefinedTensor
2022-05-18T03:46:29.9696048Z [       OK ] TensorTest.UndefinedTensor (0 ms)
2022-05-18T03:46:29.9696360Z [ RUN      ] TensorTest.CopyAndAssignment
2022-05-18T03:46:29.9696695Z [       OK ] TensorTest.CopyAndAssignment (0 ms)
2022-05-18T03:46:29.9697040Z [ RUN      ] TensorTest.TensorSerialization_bool
2022-05-18T03:46:29.9697386Z [       OK ] TensorTest.TensorSerialization_bool (0 ms)
2022-05-18T03:46:29.9697747Z [ RUN      ] TensorTest.TensorSerialization_double
2022-05-18T03:46:29.9698115Z [       OK ] TensorTest.TensorSerialization_double (0 ms)
2022-05-18T03:46:29.9698481Z [ RUN      ] TensorTest.TensorSerialization_float
2022-05-18T03:46:29.9698837Z [       OK ] TensorTest.TensorSerialization_float (0 ms)
2022-05-18T03:46:29.9699196Z [ RUN      ] TensorTest.TensorSerialization_int
2022-05-18T03:46:29.9699555Z [       OK ] TensorTest.TensorSerialization_int (0 ms)
2022-05-18T03:46:29.9699908Z [ RUN      ] TensorTest.TensorSerialization_int8_t
2022-05-18T03:46:29.9700274Z [       OK ] TensorTest.TensorSerialization_int8_t (0 ms)
2022-05-18T03:46:29.9700640Z [ RUN      ] TensorTest.TensorSerialization_int16_t
2022-05-18T03:46:29.9700998Z [       OK ] TensorTest.TensorSerialization_int16_t (0 ms)
2022-05-18T03:46:29.9701357Z [ RUN      ] TensorTest.TensorSerialization_uint8_t
2022-05-18T03:46:29.9701723Z [       OK ] TensorTest.TensorSerialization_uint8_t (0 ms)
2022-05-18T03:46:29.9702089Z [ RUN      ] TensorTest.TensorSerialization_uint16_t
2022-05-18T03:46:29.9702447Z [       OK ] TensorTest.TensorSerialization_uint16_t (0 ms)
2022-05-18T03:46:29.9702812Z [ RUN      ] TensorTest.TensorSerialization_int64_t
2022-05-18T03:46:29.9703177Z [       OK ] TensorTest.TensorSerialization_int64_t (0 ms)
2022-05-18T03:46:29.9703535Z [ RUN      ] TensorTest.TensorSerialization_CustomType
2022-05-18T03:46:29.9703917Z [       OK ] TensorTest.TensorSerialization_CustomType (0 ms)
2022-05-18T03:46:29.9704225Z [ RUN      ] TensorTest.Half
2022-05-18T03:46:30.0627957Z [       OK ] TensorTest.Half (95 ms)
2022-05-18T03:46:30.0628471Z [ RUN      ] TensorTest.TensorFactory
2022-05-18T03:46:30.0628982Z [       OK ] TensorTest.TensorFactory (0 ms)
2022-05-18T03:46:30.0629538Z [----------] 17 tests from TensorTest (96 ms total)
2022-05-18T03:46:30.0629743Z 
2022-05-18T03:46:30.0629903Z [----------] 9 tests from EmptyTensorTest
2022-05-18T03:46:30.0630323Z [ RUN      ] EmptyTensorTest.TensorSerialization_bool
2022-05-18T03:46:30.0630771Z [       OK ] EmptyTensorTest.TensorSerialization_bool (0 ms)
2022-05-18T03:46:30.0631497Z [ RUN      ] EmptyTensorTest.TensorSerialization_double
2022-05-18T03:46:30.0631935Z [       OK ] EmptyTensorTest.TensorSerialization_double (0 ms)
2022-05-18T03:46:30.0632394Z [ RUN      ] EmptyTensorTest.TensorSerialization_float
2022-05-18T03:46:30.0632796Z [       OK ] EmptyTensorTest.TensorSerialization_float (0 ms)
2022-05-18T03:46:30.0633230Z [ RUN      ] EmptyTensorTest.TensorSerialization_int
2022-05-18T03:46:30.0633637Z [       OK ] EmptyTensorTest.TensorSerialization_int (0 ms)
2022-05-18T03:46:30.0634091Z [ RUN      ] EmptyTensorTest.TensorSerialization_int8_t
2022-05-18T03:46:30.0634490Z [       OK ] EmptyTensorTest.TensorSerialization_int8_t (0 ms)
2022-05-18T03:46:30.0634938Z [ RUN      ] EmptyTensorTest.TensorSerialization_int16_t
2022-05-18T03:46:30.0635370Z [       OK ] EmptyTensorTest.TensorSerialization_int16_t (0 ms)
2022-05-18T03:46:30.0635793Z [ RUN      ] EmptyTensorTest.TensorSerialization_uint8_t
2022-05-18T03:46:30.0636247Z [       OK ] EmptyTensorTest.TensorSerialization_uint8_t (0 ms)
2022-05-18T03:46:30.0636716Z [ RUN      ] EmptyTensorTest.TensorSerialization_uint16_t
2022-05-18T03:46:30.0637185Z [       OK ] EmptyTensorTest.TensorSerialization_uint16_t (0 ms)
2022-05-18T03:46:30.0637583Z [ RUN      ] EmptyTensorTest.TensorSerialization_int64_t
2022-05-18T03:46:30.0638038Z [       OK ] EmptyTensorTest.TensorSerialization_int64_t (0 ms)
2022-05-18T03:46:30.0638448Z [----------] 9 tests from EmptyTensorTest (0 ms total)
2022-05-18T03:46:30.0638637Z 
2022-05-18T03:46:30.0638793Z [----------] 1 test from QTensorTest
2022-05-18T03:46:30.0639100Z [ RUN      ] QTensorTest.QTensorSerialization
2022-05-18T03:46:30.0639526Z [       OK ] QTensorTest.QTensorSerialization (0 ms)
2022-05-18T03:46:30.0639878Z [----------] 1 test from QTensorTest (0 ms total)
2022-05-18T03:46:30.0640103Z 
2022-05-18T03:46:30.0640313Z [----------] 1 test from TypedTensorTest/0, where TypeParam = float
2022-05-18T03:46:30.0640695Z [ RUN      ] TypedTensorTest/0.BigTensorSerialization
2022-05-18T03:46:30.5756471Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:46:31.6044885Z [       OK ] TypedTensorTest/0.BigTensorSerialization (1541 ms)
2022-05-18T03:46:31.6045353Z [----------] 1 test from TypedTensorTest/0 (1541 ms total)
2022-05-18T03:46:31.6045534Z 
2022-05-18T03:46:31.6045767Z [----------] 1 test from TypedTensorTest/1, where TypeParam = bool
2022-05-18T03:46:31.6046144Z [ RUN      ] TypedTensorTest/1.BigTensorSerialization
2022-05-18T03:46:32.7168259Z [       OK ] TypedTensorTest/1.BigTensorSerialization (1112 ms)
2022-05-18T03:46:32.7168834Z [----------] 1 test from TypedTensorTest/1 (1112 ms total)
2022-05-18T03:46:32.7169013Z 
2022-05-18T03:46:32.7169252Z [----------] 1 test from TypedTensorTest/2, where TypeParam = double
2022-05-18T03:46:32.7169645Z [ RUN      ] TypedTensorTest/2.BigTensorSerialization
2022-05-18T03:46:34.9274368Z [       OK ] TypedTensorTest/2.BigTensorSerialization (2210 ms)
2022-05-18T03:46:34.9274824Z [----------] 1 test from TypedTensorTest/2 (2210 ms total)
2022-05-18T03:46:34.9275006Z 
2022-05-18T03:46:34.9275217Z [----------] 1 test from TypedTensorTest/3, where TypeParam = int
2022-05-18T03:46:34.9275594Z [ RUN      ] TypedTensorTest/3.BigTensorSerialization
2022-05-18T03:46:36.7188816Z [       OK ] TypedTensorTest/3.BigTensorSerialization (1791 ms)
2022-05-18T03:46:36.7189536Z [----------] 1 test from TypedTensorTest/3 (1791 ms total)
2022-05-18T03:46:36.7189840Z 
2022-05-18T03:46:36.7190237Z [----------] 1 test from TypedTensorTest/4, where TypeParam = signed char
2022-05-18T03:46:36.7190861Z [ RUN      ] TypedTensorTest/4.BigTensorSerialization
2022-05-18T03:46:38.4494219Z [       OK ] TypedTensorTest/4.BigTensorSerialization (1730 ms)
2022-05-18T03:46:38.4494768Z [----------] 1 test from TypedTensorTest/4 (1730 ms total)
2022-05-18T03:46:38.4494946Z 
2022-05-18T03:46:38.4495181Z [----------] 1 test from TypedTensorTest/5, where TypeParam = short
2022-05-18T03:46:38.4495564Z [ RUN      ] TypedTensorTest/5.BigTensorSerialization
2022-05-18T03:46:40.4174873Z [       OK ] TypedTensorTest/5.BigTensorSerialization (1968 ms)
2022-05-18T03:46:40.4175564Z [----------] 1 test from TypedTensorTest/5 (1968 ms total)
2022-05-18T03:46:40.4175850Z 
2022-05-18T03:46:40.4176253Z [----------] 1 test from TypedTensorTest/6, where TypeParam = unsigned char
2022-05-18T03:46:40.4176903Z [ RUN      ] TypedTensorTest/6.BigTensorSerialization
2022-05-18T03:46:41.6546988Z [       OK ] TypedTensorTest/6.BigTensorSerialization (1237 ms)
2022-05-18T03:46:41.6547425Z [----------] 1 test from TypedTensorTest/6 (1237 ms total)
2022-05-18T03:46:41.6547618Z 
2022-05-18T03:46:41.6548114Z [----------] 1 test from TypedTensorTest/7, where TypeParam = unsigned short
2022-05-18T03:46:41.6548490Z [ RUN      ] TypedTensorTest/7.BigTensorSerialization
2022-05-18T03:46:43.2254722Z [       OK ] TypedTensorTest/7.BigTensorSerialization (1570 ms)
2022-05-18T03:46:43.2255163Z [----------] 1 test from TypedTensorTest/7 (1570 ms total)
2022-05-18T03:46:43.2255338Z 
2022-05-18T03:46:43.2255566Z [----------] 1 test from TypedTensorTest/8, where TypeParam = long
2022-05-18T03:46:43.2255934Z [ RUN      ] TypedTensorTest/8.BigTensorSerialization
2022-05-18T03:46:45.5418268Z [       OK ] TypedTensorTest/8.BigTensorSerialization (2316 ms)
2022-05-18T03:46:45.5418923Z [----------] 1 test from TypedTensorTest/8 (2316 ms total)
2022-05-18T03:46:45.5419148Z 
2022-05-18T03:46:45.5419425Z [----------] 1 test from ContentChunks
2022-05-18T03:46:45.5419824Z [ RUN      ] ContentChunks.Serialization
2022-05-18T03:46:45.5420150Z [       OK ] ContentChunks.Serialization (0 ms)
2022-05-18T03:46:45.5420506Z [----------] 1 test from ContentChunks (0 ms total)
2022-05-18T03:46:45.5420665Z 
2022-05-18T03:46:45.5420823Z [----------] 1 test from CustomChunkSize
2022-05-18T03:46:45.5421168Z [ RUN      ] CustomChunkSize.BigTensorSerialization
2022-05-18T03:46:47.1338376Z [       OK ] CustomChunkSize.BigTensorSerialization (1591 ms)
2022-05-18T03:46:47.1338995Z [----------] 1 test from CustomChunkSize (1591 ms total)
2022-05-18T03:46:47.1339164Z 
2022-05-18T03:46:47.1353859Z [----------] 1 test from QTensor
2022-05-18T03:46:47.1354600Z [ RUN      ] QTensor.QTensorSizingTest
2022-05-18T03:46:47.1355087Z [       OK ] QTensor.QTensorSizingTest (0 ms)
2022-05-18T03:46:47.1355422Z [----------] 1 test from QTensor (0 ms total)
2022-05-18T03:46:47.1355600Z 
2022-05-18T03:46:47.1355761Z [----------] 3 tests from TensorConstruction
2022-05-18T03:46:47.1356137Z [ RUN      ] TensorConstruction.UninitializedCopyTest
2022-05-18T03:46:47.1356549Z [       OK ] TensorConstruction.UninitializedCopyTest (0 ms)
2022-05-18T03:46:47.1356945Z [ RUN      ] TensorConstruction.CopyConstructorTest
2022-05-18T03:46:47.1357327Z [       OK ] TensorConstruction.CopyConstructorTest (0 ms)
2022-05-18T03:46:47.1357728Z [ RUN      ] TensorConstruction.MoveAssignmentOpTest
2022-05-18T03:46:47.1358131Z [       OK ] TensorConstruction.MoveAssignmentOpTest (0 ms)
2022-05-18T03:46:47.1358511Z [----------] 3 tests from TensorConstruction (0 ms total)
2022-05-18T03:46:47.1358684Z 
2022-05-18T03:46:47.1358859Z [----------] 2 tests from TensorSerialization
2022-05-18T03:46:47.1359318Z [ RUN      ] TensorSerialization.MistakenlySerializingDtypeUninitializedTensor
2022-05-18T03:46:47.1360281Z [W blob_serialization.cc:675] You're trying to serialize tensor with zero numel and no dtype. This is a legacy behavior and it WILL BREAK. Contact PyTorch team for details. Offending blob name: foo
2022-05-18T03:46:47.1360917Z [       OK ] TensorSerialization.MistakenlySerializingDtypeUninitializedTensor (0 ms)
2022-05-18T03:46:47.1361387Z [ RUN      ] TensorSerialization.TestCorrectness
2022-05-18T03:46:47.1361768Z [       OK ] TensorSerialization.TestCorrectness (0 ms)
2022-05-18T03:46:47.1362141Z [----------] 2 tests from TensorSerialization (1 ms total)
2022-05-18T03:46:47.1362317Z 
2022-05-18T03:46:47.1362494Z [----------] Global test environment tear-down
2022-05-18T03:46:47.1368124Z [==========] 102 tests from 26 test suites ran. (17172 ms total)
2022-05-18T03:46:47.1368412Z [  PASSED  ] 102 tests.
2022-05-18T03:46:47.1810179Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:47.1810429Z + case "$test" in
2022-05-18T03:46:47.1812700Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/boolean_unmask_ops_test
2022-05-18T03:46:47.1818603Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:47.1819202Z + /opt/conda/lib/python3.7/site-packages/torch/test/boolean_unmask_ops_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/boolean_unmask_ops_test.xml
2022-05-18T03:46:47.3529093Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:47.3529865Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:46:47.3530356Z [----------] Global test environment set-up.
2022-05-18T03:46:47.3530834Z [----------] 1 test from BooleanUnmaskTest
2022-05-18T03:46:47.3531284Z [ RUN      ] BooleanUnmaskTest.Test
2022-05-18T03:46:47.3531628Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:46:47.3532002Z [       OK ] BooleanUnmaskTest.Test (0 ms)
2022-05-18T03:46:47.3532373Z [----------] 1 test from BooleanUnmaskTest (0 ms total)
2022-05-18T03:46:47.3532547Z 
2022-05-18T03:46:47.3532831Z [----------] Global test environment tear-down
2022-05-18T03:46:47.3533916Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-05-18T03:46:47.3534175Z [  PASSED  ] 1 test.
2022-05-18T03:46:47.3934226Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:47.3934633Z + case "$test" in
2022-05-18T03:46:47.3937430Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test
2022-05-18T03:46:47.3943856Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:47.5662716Z + /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/bound_shape_inference_test.xml
2022-05-18T03:46:47.5663579Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:47.5664211Z [==========] Running 26 tests from 1 test suite.
2022-05-18T03:46:47.5664678Z [----------] Global test environment set-up.
2022-05-18T03:46:47.5665310Z [----------] 26 tests from BoundShapeInference
2022-05-18T03:46:47.5665952Z [ RUN      ] BoundShapeInference.SparseLengthsSum
2022-05-18T03:46:47.5666575Z [       OK ] BoundShapeInference.SparseLengthsSum (0 ms)
2022-05-18T03:46:47.5667005Z [ RUN      ] BoundShapeInference.SparseLengthsSumSparseLookup
2022-05-18T03:46:47.5667465Z [W bound_shape_inferencer.cc:388] Shape of COMPRESSED_INDICES_MAPPING input of SparseLengthsSumSparseLookup Remapping needs to be presented
2022-05-18T03:46:47.5667956Z [W bound_shape_inferencer.cc:388] Shape of COMPRESSED_INDICES_MAPPING input of SparseLengthsSumSparseLookup Remapping needs to be presented
2022-05-18T03:46:47.5668474Z [       OK ] BoundShapeInference.SparseLengthsSumSparseLookup (0 ms)
2022-05-18T03:46:47.5669190Z [ RUN      ] BoundShapeInference.SparseLengthsSumFused8BitRowwise
2022-05-18T03:46:47.5669687Z [       OK ] BoundShapeInference.SparseLengthsSumFused8BitRowwise (0 ms)
2022-05-18T03:46:47.5670165Z [ RUN      ] BoundShapeInference.SparseLengthsSum8BitRowwiseSparse
2022-05-18T03:46:47.5670680Z [       OK ] BoundShapeInference.SparseLengthsSum8BitRowwiseSparse (0 ms)
2022-05-18T03:46:47.5671169Z [ RUN      ] BoundShapeInference.SparseLengthsSumFused4BitRowwise
2022-05-18T03:46:47.5671653Z [       OK ] BoundShapeInference.SparseLengthsSumFused4BitRowwise (0 ms)
2022-05-18T03:46:47.5672069Z [ RUN      ] BoundShapeInference.LengthsRangeFill
2022-05-18T03:46:47.5672456Z [       OK ] BoundShapeInference.LengthsRangeFill (0 ms)
2022-05-18T03:46:47.5672823Z [ RUN      ] BoundShapeInference.ConstantFill
2022-05-18T03:46:47.5673171Z [       OK ] BoundShapeInference.ConstantFill (0 ms)
2022-05-18T03:46:47.5673516Z [ RUN      ] BoundShapeInference.Reshape
2022-05-18T03:46:47.5697931Z [E bound_shape_inferencer.cc:1150] Enforce not met while inferring shapes for Reshape: [enforce fail at reshape_op.cc:99] totalSize == size. 320 vs 16. Argument `shape` does not agree with the input data. (320 != 16)
2022-05-18T03:46:47.5712511Z frame #0: c10::ThrowEnforceNotMet(char const*, int, char const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, void const*) + 0xa3 (0x7f381e03d183 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:46:47.5713270Z frame #1: <unknown function> + 0x3938205 (0x7f3821bab205 in /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
2022-05-18T03:46:47.5713782Z frame #2: <unknown function> + 0x300ba06 (0x7f382127ea06 in /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
2022-05-18T03:46:47.5714446Z frame #3: caffe2::BoundShapeInferencer::InferCommonOp(caffe2::OperatorDef const&, caffe2::OpSchema const*, bool, bool) + 0x1ee (0x7f3821df1c4e in /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
2022-05-18T03:46:47.5715166Z frame #4: caffe2::BoundShapeInferencer::InferReshape(caffe2::OperatorDef const&) + 0x19 (0x7f3821dee989 in /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
2022-05-18T03:46:47.5715860Z frame #5: caffe2::BoundShapeInferencer::InferOps(caffe2::OperatorDef const&, caffe2::Workspace*) + 0x29b (0x7f3821deb6fb in /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
2022-05-18T03:46:47.5717281Z frame #6: caffe2::BoundShapeInferencer::InferBoundShapeAndType(caffe2::NetDef const&, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, caffe2::ShapeInfo, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, caffe2::ShapeInfo> > > const&, caffe2::Workspace*, bool) + 0xe6 (0x7f3821df2fe6 in /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
2022-05-18T03:46:47.5718327Z frame #7: BoundShapeInference_Reshape_Test::TestBody() + 0xc7a (0x427d6a in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5719108Z frame #8: void testing::internal::HandleExceptionsInMethodIfSupported<testing::Test, void>(testing::Test*, void (testing::Test::*)(), char const*) + 0x44 (0x4b3894 in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5719764Z frame #9: testing::Test::Run() + 0x1e8 (0x48a9b8 in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5720286Z frame #10: testing::TestInfo::Run() + 0x210 (0x48bd50 in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5720979Z frame #11: testing::TestSuite::Run() + 0x114 (0x48c634 in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5721563Z frame #12: testing::internal::UnitTestImpl::RunAllTests() + 0x556 (0x49e416 in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5722416Z frame #13: bool testing::internal::HandleExceptionsInMethodIfSupported<testing::internal::UnitTestImpl, bool>(testing::internal::UnitTestImpl*, bool (testing::internal::UnitTestImpl::*)(), char const*) + 0x44 (0x4b4504 in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5723381Z frame #14: testing::UnitTest::Run() + 0x4c (0x49de8c in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5723871Z frame #15: main + 0x37 (0x4416f7 in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5724308Z frame #16: __libc_start_main + 0xf0 (0x7f38148b3840 in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:46:47.5724829Z frame #17: _start + 0x29 (0x4204d9 in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5725124Z  first output: Y2
2022-05-18T03:46:47.5728135Z [E bound_shape_inferencer.cc:1150] Enforce not met while inferring shapes for Reshape: [enforce fail at reshape_op.cc:99] totalSize == size. 320 vs 16. Argument `shape` does not agree with the input data. (320 != 16)
2022-05-18T03:46:47.5729418Z frame #0: c10::ThrowEnforceNotMet(char const*, int, char const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, void const*) + 0xa3 (0x7f381e03d183 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:46:47.5730242Z frame #1: <unknown function> + 0x3938205 (0x7f3821bab205 in /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
2022-05-18T03:46:47.5730746Z frame #2: <unknown function> + 0x300ba06 (0x7f382127ea06 in /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
2022-05-18T03:46:47.5731429Z frame #3: caffe2::BoundShapeInferencer::InferCommonOp(caffe2::OperatorDef const&, caffe2::OpSchema const*, bool, bool) + 0x1ee (0x7f3821df1c4e in /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
2022-05-18T03:46:47.5732123Z frame #4: caffe2::BoundShapeInferencer::InferReshape(caffe2::OperatorDef const&) + 0x19 (0x7f3821dee989 in /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
2022-05-18T03:46:47.5732815Z frame #5: caffe2::BoundShapeInferencer::InferOps(caffe2::OperatorDef const&, caffe2::Workspace*) + 0x29b (0x7f3821deb6fb in /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
2022-05-18T03:46:47.5734229Z frame #6: caffe2::BoundShapeInferencer::InferBoundShapeAndType(caffe2::NetDef const&, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, caffe2::ShapeInfo, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, caffe2::ShapeInfo> > > const&, caffe2::Workspace*, bool) + 0xe6 (0x7f3821df2fe6 in /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
2022-05-18T03:46:47.5735274Z frame #7: BoundShapeInference_Reshape_Test::TestBody() + 0xc7a (0x427d6a in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5736048Z frame #8: void testing::internal::HandleExceptionsInMethodIfSupported<testing::Test, void>(testing::Test*, void (testing::Test::*)(), char const*) + 0x44 (0x4b3894 in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5736703Z frame #9: testing::Test::Run() + 0x1e8 (0x48a9b8 in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5737327Z frame #10: testing::TestInfo::Run() + 0x210 (0x48bd50 in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5737884Z frame #11: testing::TestSuite::Run() + 0x114 (0x48c634 in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5738449Z frame #12: testing::internal::UnitTestImpl::RunAllTests() + 0x556 (0x49e416 in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5739308Z frame #13: bool testing::internal::HandleExceptionsInMethodIfSupported<testing::internal::UnitTestImpl, bool>(testing::internal::UnitTestImpl*, bool (testing::internal::UnitTestImpl::*)(), char const*) + 0x44 (0x4b4504 in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5740021Z frame #14: testing::UnitTest::Run() + 0x4c (0x49de8c in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5740527Z frame #15: main + 0x37 (0x4416f7 in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5740993Z frame #16: __libc_start_main + 0xf0 (0x7f38148b3840 in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:46:47.5741449Z frame #17: _start + 0x29 (0x4204d9 in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5741734Z  first output: Y2
2022-05-18T03:46:47.5742033Z [       OK ] BoundShapeInference.Reshape (6 ms)
2022-05-18T03:46:47.5742393Z [ RUN      ] BoundShapeInference.ConcatMissingInput
2022-05-18T03:46:47.5742796Z [       OK ] BoundShapeInference.ConcatMissingInput (0 ms)
2022-05-18T03:46:47.5743243Z [ RUN      ] BoundShapeInference.Int8QuantizeInferInputBackwards
2022-05-18T03:46:47.5743615Z [W bound_shape_inferencer.cc:1065] Cannot find shape info for I0. Skipping Int8Quantize
2022-05-18T03:46:47.5743936Z [E operator_schema.cc:45] Output size 2 not in range [min=1, max=1].
2022-05-18T03:46:47.5756322Z [E bound_shape_inferencer.cc:1150] Enforce not met while inferring shapes for Int8Quantize: [enforce fail at operator_schema.h:194] Verify(def). (InferTensor) Operator def did not pass schema checking: input: "I0" output: "Cout" output: "split_info" name: "" type: "Int8Quantize" arg { name: "Y_zero_point" i: 0 } arg { name: "Y_scale" f: 0.05 }
2022-05-18T03:46:47.5758083Z frame #0: c10::ThrowEnforceNotMet(char const*, int, char const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, void const*) + 0xa3 (0x7f381e03d183 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:46:47.5759014Z frame #1: <unknown function> + 0x300ba60 (0x7f382127ea60 in /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
2022-05-18T03:46:47.5759959Z frame #2: caffe2::BoundShapeInferencer::InferCommonOp(caffe2::OperatorDef const&, caffe2::OpSchema const*, bool, bool) + 0x1ee (0x7f3821df1c4e in /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
2022-05-18T03:46:47.5760756Z frame #3: caffe2::BoundShapeInferencer::InferOps(caffe2::OperatorDef const&, caffe2::Workspace*) + 0x485 (0x7f3821deb8e5 in /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
2022-05-18T03:46:47.5762494Z frame #4: caffe2::BoundShapeInferencer::InferBoundShapeAndType(caffe2::NetDef const&, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, caffe2::ShapeInfo, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, caffe2::ShapeInfo> > > const&, caffe2::Workspace*, bool) + 0xe6 (0x7f3821df2fe6 in /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
2022-05-18T03:46:47.5764479Z frame #5: BoundShapeInference_Int8QuantizeInferInputBackwards_Test::TestBody() + 0xa95 (0x42a145 in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5765557Z frame #6: void testing::internal::HandleExceptionsInMethodIfSupported<testing::Test, void>(testing::Test*, void (testing::Test::*)(), char const*) + 0x44 (0x4b3894 in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5766207Z frame #7: testing::Test::Run() + 0x1e8 (0x48a9b8 in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5766741Z frame #8: testing::TestInfo::Run() + 0x210 (0x48bd50 in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5767271Z frame #9: testing::TestSuite::Run() + 0x114 (0x48c634 in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5767843Z frame #10: testing::internal::UnitTestImpl::RunAllTests() + 0x556 (0x49e416 in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5768755Z frame #11: bool testing::internal::HandleExceptionsInMethodIfSupported<testing::internal::UnitTestImpl, bool>(testing::internal::UnitTestImpl*, bool (testing::internal::UnitTestImpl::*)(), char const*) + 0x44 (0x4b4504 in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5769476Z frame #12: testing::UnitTest::Run() + 0x4c (0x49de8c in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5770194Z frame #13: main + 0x37 (0x4416f7 in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5770854Z frame #14: __libc_start_main + 0xf0 (0x7f38148b3840 in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:46:47.5771530Z frame #15: _start + 0x29 (0x4204d9 in /opt/conda/lib/python3.7/site-packages/torch/test/bound_shape_inference_test)
2022-05-18T03:46:47.5771816Z  first output: Cout
2022-05-18T03:46:47.5772201Z [       OK ] BoundShapeInference.Int8QuantizeInferInputBackwards (2 ms)
2022-05-18T03:46:47.5772662Z [ RUN      ] BoundShapeInference.ConcatInferInputBackwards
2022-05-18T03:46:47.5773009Z [W bound_shape_inferencer.cc:1065] Cannot find shape info for I1. Skipping Concat
2022-05-18T03:46:47.5773432Z [       OK ] BoundShapeInference.ConcatInferInputBackwards (0 ms)
2022-05-18T03:46:47.5773890Z [ RUN      ] BoundShapeInference.ElementwiseInferInputBackwards
2022-05-18T03:46:47.5774292Z [W bound_shape_inferencer.cc:1065] Cannot find shape info for I0. Skipping Mul
2022-05-18T03:46:47.5774622Z [W bound_shape_inferencer.cc:1065] Cannot find shape info for I00. Skipping Add
2022-05-18T03:46:47.5775092Z [       OK ] BoundShapeInference.ElementwiseInferInputBackwards (0 ms)
2022-05-18T03:46:47.5775505Z [ RUN      ] BoundShapeInference.ElementwiseOp
2022-05-18T03:46:47.5775809Z [W bound_shape_inferencer.cc:1065] Cannot find shape info for I1. Skipping Mul
2022-05-18T03:46:47.5776138Z [W bound_shape_inferencer.cc:1065] Cannot find shape info for I11. Skipping Add
2022-05-18T03:46:47.5776523Z [       OK ] BoundShapeInference.ElementwiseOp (0 ms)
2022-05-18T03:46:47.5776861Z [ RUN      ] BoundShapeInference.Bucketize
2022-05-18T03:46:47.5777211Z [       OK ] BoundShapeInference.Bucketize (0 ms)
2022-05-18T03:46:47.5777537Z [ RUN      ] BoundShapeInference.Split
2022-05-18T03:46:47.5777849Z [       OK ] BoundShapeInference.Split (0 ms)
2022-05-18T03:46:47.5778160Z [ RUN      ] BoundShapeInference.FC
2022-05-18T03:46:47.5778491Z [       OK ] BoundShapeInference.FC (0 ms)
2022-05-18T03:46:47.5778803Z [ RUN      ] BoundShapeInference.FC3D
2022-05-18T03:46:47.5779108Z [       OK ] BoundShapeInference.FC3D (0 ms)
2022-05-18T03:46:47.5779447Z [ RUN      ] BoundShapeInference.Quantization
2022-05-18T03:46:47.5779807Z [       OK ] BoundShapeInference.Quantization (0 ms)
2022-05-18T03:46:47.5780196Z [ RUN      ] BoundShapeInference.Tile
2022-05-18T03:46:47.5780515Z [       OK ] BoundShapeInference.Tile (0 ms)
2022-05-18T03:46:47.5780839Z [ RUN      ] BoundShapeInference.Combo0
2022-05-18T03:46:47.5781171Z [       OK ] BoundShapeInference.Combo0 (0 ms)
2022-05-18T03:46:47.5781483Z [ RUN      ] BoundShapeInference.Softmax
2022-05-18T03:46:47.5781818Z [       OK ] BoundShapeInference.Softmax (0 ms)
2022-05-18T03:46:47.5782145Z [ RUN      ] BoundShapeInference.LpNorm
2022-05-18T03:46:47.5782466Z [       OK ] BoundShapeInference.LpNorm (0 ms)
2022-05-18T03:46:47.5782798Z [ RUN      ] BoundShapeInference.Transpose
2022-05-18T03:46:47.5783147Z [       OK ] BoundShapeInference.Transpose (0 ms)
2022-05-18T03:46:47.5783459Z [ RUN      ] BoundShapeInference.Clip
2022-05-18T03:46:47.5783775Z [       OK ] BoundShapeInference.Clip (0 ms)
2022-05-18T03:46:47.5784088Z [ RUN      ] BoundShapeInference.Mean
2022-05-18T03:46:47.5784391Z [       OK ] BoundShapeInference.Mean (0 ms)
2022-05-18T03:46:47.5784735Z [ RUN      ] BoundShapeInference.Div
2022-05-18T03:46:47.5785053Z [       OK ] BoundShapeInference.Div (0 ms)
2022-05-18T03:46:47.5785508Z [----------] 26 tests from BoundShapeInference (10 ms total)
2022-05-18T03:46:47.5785678Z 
2022-05-18T03:46:47.5785853Z [----------] Global test environment tear-down
2022-05-18T03:46:47.5786183Z [==========] 26 tests from 1 test suite ran. (10 ms total)
2022-05-18T03:46:47.5786455Z [  PASSED  ] 26 tests.
2022-05-18T03:46:47.6197030Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:47.6197352Z + case "$test" in
2022-05-18T03:46:47.6199694Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/broadcast_test
2022-05-18T03:46:47.6205505Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:47.6206044Z + /opt/conda/lib/python3.7/site-packages/torch/test/broadcast_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/broadcast_test.xml
2022-05-18T03:46:47.7933308Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:47.7934006Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:46:47.7934313Z [----------] Global test environment set-up.
2022-05-18T03:46:47.7934634Z [----------] 1 test from BroadcastTest
2022-05-18T03:46:47.7934930Z [ RUN      ] BroadcastTest.Broadcast
2022-05-18T03:46:47.8477017Z [       OK ] BroadcastTest.Broadcast (54 ms)
2022-05-18T03:46:47.8477522Z [----------] 1 test from BroadcastTest (54 ms total)
2022-05-18T03:46:47.8477693Z 
2022-05-18T03:46:47.8477882Z [----------] Global test environment tear-down
2022-05-18T03:46:47.8478280Z [==========] 1 test from 1 test suite ran. (54 ms total)
2022-05-18T03:46:47.8478559Z [  PASSED  ] 1 test.
2022-05-18T03:46:47.8898746Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:47.8899009Z + case "$test" in
2022-05-18T03:46:47.8901593Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_Array_test
2022-05-18T03:46:47.8907403Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:47.8908017Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_Array_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_Array_test.xml
2022-05-18T03:46:47.8924082Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:47.8924811Z [==========] Running 0 tests from 0 test suites.
2022-05-18T03:46:47.8925470Z [==========] 0 tests from 0 test suites ran. (0 ms total)
2022-05-18T03:46:47.8925914Z [  PASSED  ] 0 tests.
2022-05-18T03:46:47.8927909Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:47.8928312Z + case "$test" in
2022-05-18T03:46:47.8931528Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_Bitset_test
2022-05-18T03:46:47.8936538Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:47.8937123Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_Bitset_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_Bitset_test.xml
2022-05-18T03:46:47.8952379Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:47.8953046Z [==========] Running 12 tests from 1 test suite.
2022-05-18T03:46:47.8953547Z [----------] Global test environment set-up.
2022-05-18T03:46:47.8954554Z [----------] 12 tests from BitsetTest
2022-05-18T03:46:47.8955200Z [ RUN      ] BitsetTest.givenEmptyBitset_whenGettingBit_thenIsZero
2022-05-18T03:46:47.8956017Z [       OK ] BitsetTest.givenEmptyBitset_whenGettingBit_thenIsZero (0 ms)
2022-05-18T03:46:47.8956810Z [ RUN      ] BitsetTest.givenEmptyBitset_whenUnsettingBit_thenIsZero
2022-05-18T03:46:47.8957716Z [       OK ] BitsetTest.givenEmptyBitset_whenUnsettingBit_thenIsZero (0 ms)
2022-05-18T03:46:47.8958488Z [ RUN      ] BitsetTest.givenEmptyBitset_whenSettingAndUnsettingBit_thenIsZero
2022-05-18T03:46:47.8959291Z [       OK ] BitsetTest.givenEmptyBitset_whenSettingAndUnsettingBit_thenIsZero (0 ms)
2022-05-18T03:46:47.8959786Z [ RUN      ] BitsetTest.givenEmptyBitset_whenSettingBit_thenIsSet
2022-05-18T03:46:47.8960206Z [       OK ] BitsetTest.givenEmptyBitset_whenSettingBit_thenIsSet (0 ms)
2022-05-18T03:46:47.8960638Z [ RUN      ] BitsetTest.givenEmptyBitset_whenSettingBit_thenOthersStayUnset
2022-05-18T03:46:47.8961235Z [       OK ] BitsetTest.givenEmptyBitset_whenSettingBit_thenOthersStayUnset (0 ms)
2022-05-18T03:46:47.8961701Z [ RUN      ] BitsetTest.givenNonemptyBitset_whenSettingBit_thenIsSet
2022-05-18T03:46:47.8962123Z [       OK ] BitsetTest.givenNonemptyBitset_whenSettingBit_thenIsSet (0 ms)
2022-05-18T03:46:47.8962581Z [ RUN      ] BitsetTest.givenNonemptyBitset_whenSettingBit_thenOthersStayAtOldValue
2022-05-18T03:46:47.8963370Z [       OK ] BitsetTest.givenNonemptyBitset_whenSettingBit_thenOthersStayAtOldValue (0 ms)
2022-05-18T03:46:47.8963895Z [ RUN      ] BitsetTest.givenNonemptyBitset_whenUnsettingBit_thenIsUnset
2022-05-18T03:46:47.8964338Z [       OK ] BitsetTest.givenNonemptyBitset_whenUnsettingBit_thenIsUnset (0 ms)
2022-05-18T03:46:47.8964804Z [ RUN      ] BitsetTest.givenNonemptyBitset_whenUnsettingBit_thenOthersStayAtOldValue
2022-05-18T03:46:47.8965298Z [       OK ] BitsetTest.givenNonemptyBitset_whenUnsettingBit_thenOthersStayAtOldValue (0 ms)
2022-05-18T03:46:47.8965753Z [ RUN      ] BitsetTest.givenEmptyBitset_whenCallingForEachBit_thenDoesntCall
2022-05-18T03:46:47.8966212Z [       OK ] BitsetTest.givenEmptyBitset_whenCallingForEachBit_thenDoesntCall (0 ms)
2022-05-18T03:46:47.8966710Z [ RUN      ] BitsetTest.givenBitsetWithOneBitSet_whenCallingForEachBit_thenCallsForEachBit
2022-05-18T03:46:47.8967229Z [       OK ] BitsetTest.givenBitsetWithOneBitSet_whenCallingForEachBit_thenCallsForEachBit (0 ms)
2022-05-18T03:46:47.8967757Z [ RUN      ] BitsetTest.givenBitsetWithMultipleBitsSet_whenCallingForEachBit_thenCallsForEachBit
2022-05-18T03:46:47.8968483Z [       OK ] BitsetTest.givenBitsetWithMultipleBitsSet_whenCallingForEachBit_thenCallsForEachBit (0 ms)
2022-05-18T03:46:47.8969016Z [----------] 12 tests from BitsetTest (0 ms total)
2022-05-18T03:46:47.8969204Z 
2022-05-18T03:46:47.8969380Z [----------] Global test environment tear-down
2022-05-18T03:46:47.8969705Z [==========] 12 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:46:47.8969975Z [  PASSED  ] 12 tests.
2022-05-18T03:46:47.8970278Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:47.8970629Z + case "$test" in
2022-05-18T03:46:47.8970960Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_C++17_test
2022-05-18T03:46:47.8971341Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:47.8971859Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_C++17_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_C++17_test.xml
2022-05-18T03:46:47.8984481Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:47.8985108Z [==========] Running 9 tests from 1 test suite.
2022-05-18T03:46:47.8985703Z [----------] Global test environment set-up.
2022-05-18T03:46:47.8986083Z [----------] 9 tests from if_constexpr
2022-05-18T03:46:47.8986415Z [ RUN      ] if_constexpr.whenIsTrue_thenReturnsTrueCase
2022-05-18T03:46:47.8986796Z [       OK ] if_constexpr.whenIsTrue_thenReturnsTrueCase (0 ms)
2022-05-18T03:46:47.8987195Z [ RUN      ] if_constexpr.whenIsFalse_thenReturnsFalseCase
2022-05-18T03:46:47.8987668Z [       OK ] if_constexpr.whenIsFalse_thenReturnsFalseCase (0 ms)
2022-05-18T03:46:47.8988082Z [ RUN      ] if_constexpr.worksWithMovableOnlyTypes_withIdentityArg
2022-05-18T03:46:47.8988619Z [       OK ] if_constexpr.worksWithMovableOnlyTypes_withIdentityArg (0 ms)
2022-05-18T03:46:47.8989193Z [ RUN      ] if_constexpr.worksWithMovableOnlyTypes_withoutIdentityArg
2022-05-18T03:46:47.8989637Z [       OK ] if_constexpr.worksWithMovableOnlyTypes_withoutIdentityArg (0 ms)
2022-05-18T03:46:47.8990044Z [ RUN      ] if_constexpr.otherCaseCanHaveInvalidCode
2022-05-18T03:46:47.8990531Z [       OK ] if_constexpr.otherCaseCanHaveInvalidCode (0 ms)
2022-05-18T03:46:47.8991047Z [ RUN      ] if_constexpr.worksWithoutElseCase_withIdentityArg
2022-05-18T03:46:47.8991741Z [       OK ] if_constexpr.worksWithoutElseCase_withIdentityArg (0 ms)
2022-05-18T03:46:47.8992429Z [ RUN      ] if_constexpr.worksWithoutElseCase_withoutIdentityArg
2022-05-18T03:46:47.8993125Z [       OK ] if_constexpr.worksWithoutElseCase_withoutIdentityArg (0 ms)
2022-05-18T03:46:47.8993869Z [ RUN      ] if_constexpr.returnTypeCanDiffer_withIdentityArg
2022-05-18T03:46:47.8994541Z [       OK ] if_constexpr.returnTypeCanDiffer_withIdentityArg (0 ms)
2022-05-18T03:46:47.8995217Z [ RUN      ] if_constexpr.returnTypeCanDiffer_withoutIdentityArg
2022-05-18T03:46:47.8995937Z [       OK ] if_constexpr.returnTypeCanDiffer_withoutIdentityArg (0 ms)
2022-05-18T03:46:47.8996622Z [----------] 9 tests from if_constexpr (0 ms total)
2022-05-18T03:46:47.8996900Z 
2022-05-18T03:46:47.8997241Z [----------] Global test environment tear-down
2022-05-18T03:46:47.8997830Z [==========] 9 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:46:47.8998274Z [  PASSED  ] 9 tests.
2022-05-18T03:46:47.8998705Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:47.8998941Z + case "$test" in
2022-05-18T03:46:47.8999310Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_CompileTimeFunctionPointer_test
2022-05-18T03:46:47.9000120Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:47.9000749Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_CompileTimeFunctionPointer_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_CompileTimeFunctionPointer_test.xml
2022-05-18T03:46:47.9016014Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:47.9016746Z [==========] Running 2 tests from 1 test suite.
2022-05-18T03:46:47.9017292Z [----------] Global test environment set-up.
2022-05-18T03:46:47.9017889Z [----------] 2 tests from CompileTimeFunctionPointerTest
2022-05-18T03:46:47.9018798Z [ RUN      ] CompileTimeFunctionPointerTest.runFunctionThroughType
2022-05-18T03:46:47.9019689Z [       OK ] CompileTimeFunctionPointerTest.runFunctionThroughType (0 ms)
2022-05-18T03:46:47.9020249Z [ RUN      ] CompileTimeFunctionPointerTest.runFunctionThroughValue
2022-05-18T03:46:47.9021087Z [       OK ] CompileTimeFunctionPointerTest.runFunctionThroughValue (0 ms)
2022-05-18T03:46:47.9021620Z [----------] 2 tests from CompileTimeFunctionPointerTest (0 ms total)
2022-05-18T03:46:47.9021824Z 
2022-05-18T03:46:47.9022001Z [----------] Global test environment tear-down
2022-05-18T03:46:47.9022336Z [==========] 2 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:46:47.9022632Z [  PASSED  ] 2 tests.
2022-05-18T03:46:47.9022972Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:47.9023198Z + case "$test" in
2022-05-18T03:46:47.9023538Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_ConstexprCrc_test
2022-05-18T03:46:47.9028467Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:47.9029151Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_ConstexprCrc_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_ConstexprCrc_test.xml
2022-05-18T03:46:47.9043163Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:47.9043611Z [==========] Running 0 tests from 0 test suites.
2022-05-18T03:46:47.9044621Z [==========] 0 tests from 0 test suites ran. (0 ms total)
2022-05-18T03:46:47.9045116Z [  PASSED  ] 0 tests.
2022-05-18T03:46:47.9046521Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:47.9046919Z + case "$test" in
2022-05-18T03:46:47.9049523Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_DeadlockDetection_test
2022-05-18T03:46:47.9053956Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:47.9054789Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_DeadlockDetection_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_DeadlockDetection_test.xml
2022-05-18T03:46:47.9068874Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:47.9069617Z [==========] Running 2 tests from 1 test suite.
2022-05-18T03:46:47.9070010Z [----------] Global test environment set-up.
2022-05-18T03:46:47.9070368Z [----------] 2 tests from DeadlockDetection
2022-05-18T03:46:47.9070744Z [ RUN      ] DeadlockDetection.basic
2022-05-18T03:46:47.9071106Z [       OK ] DeadlockDetection.basic (0 ms)
2022-05-18T03:46:47.9071418Z [ RUN      ] DeadlockDetection.disable
2022-05-18T03:46:47.9071723Z [       OK ] DeadlockDetection.disable (0 ms)
2022-05-18T03:46:47.9072197Z [----------] 2 tests from DeadlockDetection (0 ms total)
2022-05-18T03:46:47.9072384Z 
2022-05-18T03:46:47.9072610Z [----------] Global test environment tear-down
2022-05-18T03:46:47.9072988Z [==========] 2 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:46:47.9073243Z [  PASSED  ] 2 tests.
2022-05-18T03:46:47.9073584Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:47.9073811Z + case "$test" in
2022-05-18T03:46:47.9076327Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_DeviceGuard_test
2022-05-18T03:46:47.9081130Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:47.9081749Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_DeviceGuard_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_DeviceGuard_test.xml
2022-05-18T03:46:47.9096788Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:47.9097525Z [==========] Running 2 tests from 2 test suites.
2022-05-18T03:46:47.9098255Z [----------] Global test environment set-up.
2022-05-18T03:46:47.9098770Z [----------] 1 test from DeviceGuard
2022-05-18T03:46:47.9099386Z [ RUN      ] DeviceGuard.ResetDeviceDifferentDeviceType
2022-05-18T03:46:47.9100114Z [       OK ] DeviceGuard.ResetDeviceDifferentDeviceType (0 ms)
2022-05-18T03:46:47.9100589Z [----------] 1 test from DeviceGuard (0 ms total)
2022-05-18T03:46:47.9100752Z 
2022-05-18T03:46:47.9100926Z [----------] 1 test from OptionalDeviceGuard
2022-05-18T03:46:47.9101313Z [ RUN      ] OptionalDeviceGuard.ResetDeviceDifferentDeviceType
2022-05-18T03:46:47.9101805Z [       OK ] OptionalDeviceGuard.ResetDeviceDifferentDeviceType (0 ms)
2022-05-18T03:46:47.9102276Z [----------] 1 test from OptionalDeviceGuard (0 ms total)
2022-05-18T03:46:47.9102452Z 
2022-05-18T03:46:47.9102626Z [----------] Global test environment tear-down
2022-05-18T03:46:47.9102943Z [==========] 2 tests from 2 test suites ran. (0 ms total)
2022-05-18T03:46:47.9103213Z [  PASSED  ] 2 tests.
2022-05-18T03:46:47.9103614Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:47.9103830Z + case "$test" in
2022-05-18T03:46:47.9104829Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_Device_test
2022-05-18T03:46:47.9109879Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:47.9110458Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_Device_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_Device_test.xml
2022-05-18T03:46:47.9124922Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:47.9125631Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:46:47.9126034Z [----------] Global test environment set-up.
2022-05-18T03:46:47.9126338Z [----------] 1 test from DeviceTest
2022-05-18T03:46:47.9126637Z [ RUN      ] DeviceTest.BasicConstruction
2022-05-18T03:46:47.9139482Z [       OK ] DeviceTest.BasicConstruction (1 ms)
2022-05-18T03:46:47.9139932Z [----------] 1 test from DeviceTest (1 ms total)
2022-05-18T03:46:47.9140092Z 
2022-05-18T03:46:47.9140322Z [----------] Global test environment tear-down
2022-05-18T03:46:47.9140958Z [==========] 1 test from 1 test suite ran. (1 ms total)
2022-05-18T03:46:47.9141229Z [  PASSED  ] 1 test.
2022-05-18T03:46:47.9142921Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:47.9143137Z + case "$test" in
2022-05-18T03:46:47.9145906Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_DispatchKeySet_test
2022-05-18T03:46:47.9150629Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:47.9151193Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_DispatchKeySet_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_DispatchKeySet_test.xml
2022-05-18T03:46:47.9166054Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:47.9166772Z [==========] Running 15 tests from 1 test suite.
2022-05-18T03:46:47.9167340Z [----------] Global test environment set-up.
2022-05-18T03:46:47.9167672Z [----------] 15 tests from DispatchKeySet
2022-05-18T03:46:47.9167988Z [ RUN      ] DispatchKeySet.ShowSemantics
2022-05-18T03:46:47.9168330Z [       OK ] DispatchKeySet.ShowSemantics (0 ms)
2022-05-18T03:46:47.9168643Z [ RUN      ] DispatchKeySet.Empty
2022-05-18T03:46:47.9168930Z [       OK ] DispatchKeySet.Empty (0 ms)
2022-05-18T03:46:47.9169284Z [ RUN      ] DispatchKeySet.SingletonBackendComponent
2022-05-18T03:46:47.9169693Z [       OK ] DispatchKeySet.SingletonBackendComponent (0 ms)
2022-05-18T03:46:47.9170085Z [ RUN      ] DispatchKeySet.SingletonFunctionalityKeys
2022-05-18T03:46:47.9170627Z [       OK ] DispatchKeySet.SingletonFunctionalityKeys (0 ms)
2022-05-18T03:46:47.9171077Z [ RUN      ] DispatchKeySet.SingletonPerBackendFunctionalityKeys
2022-05-18T03:46:47.9171557Z [       OK ] DispatchKeySet.SingletonPerBackendFunctionalityKeys (0 ms)
2022-05-18T03:46:47.9171972Z [ RUN      ] DispatchKeySet.DoubletonPerBackend
2022-05-18T03:46:47.9183085Z [       OK ] DispatchKeySet.DoubletonPerBackend (1 ms)
2022-05-18T03:46:47.9183700Z [ RUN      ] DispatchKeySet.Full
2022-05-18T03:46:47.9184046Z [       OK ] DispatchKeySet.Full (0 ms)
2022-05-18T03:46:47.9184372Z [ RUN      ] DispatchKeySet.IteratorBasicOps
2022-05-18T03:46:47.9184729Z [       OK ] DispatchKeySet.IteratorBasicOps (0 ms)
2022-05-18T03:46:47.9185121Z [ RUN      ] DispatchKeySet.getHighestPriorityBackendTypeId
2022-05-18T03:46:47.9185720Z [       OK ] DispatchKeySet.getHighestPriorityBackendTypeId (0 ms)
2022-05-18T03:46:47.9186113Z [ RUN      ] DispatchKeySet.IteratorEmpty
2022-05-18T03:46:47.9186673Z [       OK ] DispatchKeySet.IteratorEmpty (0 ms)
2022-05-18T03:46:47.9187281Z [ RUN      ] DispatchKeySet.IteratorCrossProduct
2022-05-18T03:46:47.9187658Z [       OK ] DispatchKeySet.IteratorCrossProduct (0 ms)
2022-05-18T03:46:47.9188014Z [ RUN      ] DispatchKeySet.IteratorFull
2022-05-18T03:46:47.9188335Z [       OK ] DispatchKeySet.IteratorFull (0 ms)
2022-05-18T03:46:47.9188674Z [ RUN      ] DispatchKeySet.IteratorRangeFull
2022-05-18T03:46:47.9189032Z [       OK ] DispatchKeySet.IteratorRangeFull (0 ms)
2022-05-18T03:46:47.9189371Z [ RUN      ] DispatchKeySet.FailAtEndIterator
2022-05-18T03:46:47.9189792Z [       OK ] DispatchKeySet.FailAtEndIterator (0 ms)
2022-05-18T03:46:47.9190170Z [ RUN      ] DispatchKeySet.TestKeyOrderingInvariants
2022-05-18T03:46:47.9190576Z [       OK ] DispatchKeySet.TestKeyOrderingInvariants (0 ms)
2022-05-18T03:46:47.9190954Z [----------] 15 tests from DispatchKeySet (2 ms total)
2022-05-18T03:46:47.9191123Z 
2022-05-18T03:46:47.9191299Z [----------] Global test environment tear-down
2022-05-18T03:46:47.9191683Z [==========] 15 tests from 1 test suite ran. (2 ms total)
2022-05-18T03:46:47.9192021Z [  PASSED  ] 15 tests.
2022-05-18T03:46:47.9192781Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:47.9193014Z + case "$test" in
2022-05-18T03:46:47.9195839Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_Half_test
2022-05-18T03:46:47.9200804Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:47.9201334Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_Half_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_Half_test.xml
2022-05-18T03:46:47.9215215Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:47.9216004Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:46:47.9216373Z [----------] Global test environment set-up.
2022-05-18T03:46:47.9216758Z [----------] 1 test from HalfDoubleConversionTest
2022-05-18T03:46:47.9217103Z [ RUN      ] HalfDoubleConversionTest.Half2Double
2022-05-18T03:46:47.9217674Z [       OK ] HalfDoubleConversionTest.Half2Double (0 ms)
2022-05-18T03:46:47.9218373Z [----------] 1 test from HalfDoubleConversionTest (0 ms total)
2022-05-18T03:46:47.9218659Z 
2022-05-18T03:46:47.9218936Z [----------] Global test environment tear-down
2022-05-18T03:46:47.9219654Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-05-18T03:46:47.9220101Z [  PASSED  ] 1 test.
2022-05-18T03:46:47.9220601Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:47.9220814Z + case "$test" in
2022-05-18T03:46:47.9222003Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_InlineDeviceGuard_test
2022-05-18T03:46:47.9227242Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:47.9228258Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_InlineDeviceGuard_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_InlineDeviceGuard_test.xml
2022-05-18T03:46:47.9242329Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:47.9243196Z [==========] Running 9 tests from 2 test suites.
2022-05-18T03:46:47.9243533Z [----------] Global test environment set-up.
2022-05-18T03:46:47.9243854Z [----------] 5 tests from InlineDeviceGuard
2022-05-18T03:46:47.9244160Z [ RUN      ] InlineDeviceGuard.Constructor
2022-05-18T03:46:47.9244601Z [       OK ] InlineDeviceGuard.Constructor (0 ms)
2022-05-18T03:46:47.9245046Z [ RUN      ] InlineDeviceGuard.ConstructorError
2022-05-18T03:46:47.9246282Z [       OK ] InlineDeviceGuard.ConstructorError (0 ms)
2022-05-18T03:46:47.9247121Z [ RUN      ] InlineDeviceGuard.SetDevice
2022-05-18T03:46:47.9247555Z [       OK ] InlineDeviceGuard.SetDevice (0 ms)
2022-05-18T03:46:47.9247913Z [ RUN      ] InlineDeviceGuard.ResetDevice
2022-05-18T03:46:47.9248260Z [       OK ] InlineDeviceGuard.ResetDevice (0 ms)
2022-05-18T03:46:47.9248575Z [ RUN      ] InlineDeviceGuard.SetIndex
2022-05-18T03:46:47.9248905Z [       OK ] InlineDeviceGuard.SetIndex (0 ms)
2022-05-18T03:46:47.9249260Z [----------] 5 tests from InlineDeviceGuard (0 ms total)
2022-05-18T03:46:47.9249475Z 
2022-05-18T03:46:47.9249818Z [----------] 4 tests from InlineOptionalDeviceGuard
2022-05-18T03:46:47.9250413Z [ RUN      ] InlineOptionalDeviceGuard.Constructor
2022-05-18T03:46:47.9250804Z [       OK ] InlineOptionalDeviceGuard.Constructor (0 ms)
2022-05-18T03:46:47.9251215Z [ RUN      ] InlineOptionalDeviceGuard.NullaryConstructor
2022-05-18T03:46:47.9251844Z [       OK ] InlineOptionalDeviceGuard.NullaryConstructor (0 ms)
2022-05-18T03:46:47.9252440Z [ RUN      ] InlineOptionalDeviceGuard.SetDevice
2022-05-18T03:46:47.9252816Z [       OK ] InlineOptionalDeviceGuard.SetDevice (0 ms)
2022-05-18T03:46:47.9253185Z [ RUN      ] InlineOptionalDeviceGuard.SetIndex
2022-05-18T03:46:47.9253543Z [       OK ] InlineOptionalDeviceGuard.SetIndex (0 ms)
2022-05-18T03:46:47.9253944Z [----------] 4 tests from InlineOptionalDeviceGuard (0 ms total)
2022-05-18T03:46:47.9254170Z 
2022-05-18T03:46:47.9254453Z [----------] Global test environment tear-down
2022-05-18T03:46:47.9254969Z [==========] 9 tests from 2 test suites ran. (0 ms total)
2022-05-18T03:46:47.9255403Z [  PASSED  ] 9 tests.
2022-05-18T03:46:47.9255922Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:47.9256310Z + case "$test" in
2022-05-18T03:46:47.9256971Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_InlineStreamGuard_test
2022-05-18T03:46:47.9260493Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:47.9261178Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_InlineStreamGuard_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_InlineStreamGuard_test.xml
2022-05-18T03:46:47.9276269Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:47.9276947Z [==========] Running 8 tests from 3 test suites.
2022-05-18T03:46:47.9277463Z [----------] Global test environment set-up.
2022-05-18T03:46:47.9277788Z [----------] 4 tests from InlineStreamGuard
2022-05-18T03:46:47.9278098Z [ RUN      ] InlineStreamGuard.Constructor
2022-05-18T03:46:47.9278444Z [       OK ] InlineStreamGuard.Constructor (0 ms)
2022-05-18T03:46:47.9278947Z [ RUN      ] InlineStreamGuard.ResetStreamSameSameDevice
2022-05-18T03:46:47.9279386Z [       OK ] InlineStreamGuard.ResetStreamSameSameDevice (0 ms)
2022-05-18T03:46:47.9280025Z [ RUN      ] InlineStreamGuard.ResetStreamDifferentSameDevice
2022-05-18T03:46:47.9280596Z [       OK ] InlineStreamGuard.ResetStreamDifferentSameDevice (0 ms)
2022-05-18T03:46:47.9281036Z [ RUN      ] InlineStreamGuard.ResetStreamDifferentDevice
2022-05-18T03:46:47.9281456Z [       OK ] InlineStreamGuard.ResetStreamDifferentDevice (0 ms)
2022-05-18T03:46:47.9281941Z [----------] 4 tests from InlineStreamGuard (0 ms total)
2022-05-18T03:46:47.9282112Z 
2022-05-18T03:46:47.9282308Z [----------] 3 tests from InlineOptionalStreamGuard
2022-05-18T03:46:47.9282699Z [ RUN      ] InlineOptionalStreamGuard.Constructor
2022-05-18T03:46:47.9283271Z [       OK ] InlineOptionalStreamGuard.Constructor (0 ms)
2022-05-18T03:46:47.9283698Z [ RUN      ] InlineOptionalStreamGuard.ResetStreamSameDevice
2022-05-18T03:46:47.9284232Z [       OK ] InlineOptionalStreamGuard.ResetStreamSameDevice (0 ms)
2022-05-18T03:46:47.9284890Z [ RUN      ] InlineOptionalStreamGuard.ResetStreamDifferentDevice
2022-05-18T03:46:47.9285388Z [       OK ] InlineOptionalStreamGuard.ResetStreamDifferentDevice (0 ms)
2022-05-18T03:46:47.9285906Z [----------] 3 tests from InlineOptionalStreamGuard (0 ms total)
2022-05-18T03:46:47.9286094Z 
2022-05-18T03:46:47.9286265Z [----------] 1 test from InlineMultiStreamGuard
2022-05-18T03:46:47.9286610Z [ RUN      ] InlineMultiStreamGuard.Constructor
2022-05-18T03:46:47.9286980Z [       OK ] InlineMultiStreamGuard.Constructor (0 ms)
2022-05-18T03:46:47.9287363Z [----------] 1 test from InlineMultiStreamGuard (0 ms total)
2022-05-18T03:46:47.9287530Z 
2022-05-18T03:46:47.9287706Z [----------] Global test environment tear-down
2022-05-18T03:46:47.9288050Z [==========] 8 tests from 3 test suites ran. (0 ms total)
2022-05-18T03:46:47.9288323Z [  PASSED  ] 8 tests.
2022-05-18T03:46:47.9288611Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:47.9288838Z + case "$test" in
2022-05-18T03:46:47.9289175Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_LeftRight_test
2022-05-18T03:46:47.9290465Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:47.9291380Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_LeftRight_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_LeftRight_test.xml
2022-05-18T03:46:47.9307689Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:47.9308444Z [==========] Running 12 tests from 1 test suite.
2022-05-18T03:46:47.9309004Z [----------] Global test environment set-up.
2022-05-18T03:46:47.9309464Z [----------] 12 tests from LeftRightTest
2022-05-18T03:46:47.9309870Z [ RUN      ] LeftRightTest.givenInt_whenWritingAndReading_thenChangesArePresent
2022-05-18T03:46:47.9310351Z [       OK ] LeftRightTest.givenInt_whenWritingAndReading_thenChangesArePresent (0 ms)
2022-05-18T03:46:47.9310818Z [ RUN      ] LeftRightTest.givenVector_whenWritingAndReading_thenChangesArePresent
2022-05-18T03:46:47.9311309Z [       OK ] LeftRightTest.givenVector_whenWritingAndReading_thenChangesArePresent (0 ms)
2022-05-18T03:46:47.9311787Z [ RUN      ] LeftRightTest.givenVector_whenWritingReturnsValue_thenValueIsReturned
2022-05-18T03:46:47.9312268Z [       OK ] LeftRightTest.givenVector_whenWritingReturnsValue_thenValueIsReturned (0 ms)
2022-05-18T03:46:47.9312667Z [ RUN      ] LeftRightTest.readsCanBeConcurrent
2022-05-18T03:46:47.9313036Z [       OK ] LeftRightTest.readsCanBeConcurrent (0 ms)
2022-05-18T03:46:47.9313465Z [ RUN      ] LeftRightTest.writesCanBeConcurrentWithReads_readThenWrite
2022-05-18T03:46:47.9314072Z [       OK ] LeftRightTest.writesCanBeConcurrentWithReads_readThenWrite (0 ms)
2022-05-18T03:46:47.9314547Z [ RUN      ] LeftRightTest.writesCanBeConcurrentWithReads_writeThenRead
2022-05-18T03:46:47.9315032Z [       OK ] LeftRightTest.writesCanBeConcurrentWithReads_writeThenRead (0 ms)
2022-05-18T03:46:47.9315496Z [ RUN      ] LeftRightTest.writesCannotBeConcurrentWithWrites
2022-05-18T03:46:48.0313678Z [       OK ] LeftRightTest.writesCannotBeConcurrentWithWrites (100 ms)
2022-05-18T03:46:48.0314193Z [ RUN      ] LeftRightTest.whenReadThrowsException_thenThrowsThrough
2022-05-18T03:46:48.0314679Z [       OK ] LeftRightTest.whenReadThrowsException_thenThrowsThrough (0 ms)
2022-05-18T03:46:48.0315138Z [ RUN      ] LeftRightTest.whenWriteThrowsException_thenThrowsThrough
2022-05-18T03:46:48.0315587Z [       OK ] LeftRightTest.whenWriteThrowsException_thenThrowsThrough (0 ms)
2022-05-18T03:46:48.0316393Z [ RUN      ] LeftRightTest.givenInt_whenWriteThrowsExceptionOnFirstCall_thenResetsToOldState
2022-05-18T03:46:48.0317080Z [       OK ] LeftRightTest.givenInt_whenWriteThrowsExceptionOnFirstCall_thenResetsToOldState (0 ms)
2022-05-18T03:46:48.0317621Z [ RUN      ] LeftRightTest.givenInt_whenWriteThrowsExceptionOnSecondCall_thenKeepsNewState
2022-05-18T03:46:48.0318264Z [       OK ] LeftRightTest.givenInt_whenWriteThrowsExceptionOnSecondCall_thenKeepsNewState (0 ms)
2022-05-18T03:46:48.0318806Z [ RUN      ] LeftRightTest.givenVector_whenWriteThrowsException_thenResetsToOldState
2022-05-18T03:46:48.0319532Z [       OK ] LeftRightTest.givenVector_whenWriteThrowsException_thenResetsToOldState (0 ms)
2022-05-18T03:46:48.0320183Z [----------] 12 tests from LeftRightTest (100 ms total)
2022-05-18T03:46:48.0320433Z 
2022-05-18T03:46:48.0320702Z [----------] Global test environment tear-down
2022-05-18T03:46:48.0321244Z [==========] 12 tests from 1 test suite ran. (100 ms total)
2022-05-18T03:46:48.0321699Z [  PASSED  ] 12 tests.
2022-05-18T03:46:48.0322180Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:48.0322560Z + case "$test" in
2022-05-18T03:46:48.0325735Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_Metaprogramming_test
2022-05-18T03:46:48.0331667Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:48.0332350Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_Metaprogramming_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_Metaprogramming_test.xml
2022-05-18T03:46:48.0348584Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:48.0349218Z [==========] Running 41 tests from 1 test suite.
2022-05-18T03:46:48.0349736Z [----------] Global test environment set-up.
2022-05-18T03:46:48.0350392Z [----------] 41 tests from MetaprogrammingTest
2022-05-18T03:46:48.0351092Z [ RUN      ] MetaprogrammingTest.ExtractArgByFilteredIndex
2022-05-18T03:46:48.0351736Z [       OK ] MetaprogrammingTest.ExtractArgByFilteredIndex (0 ms)
2022-05-18T03:46:48.0352496Z [ RUN      ] MetaprogrammingTest.ExtractArgByFilteredIndex_singleInput
2022-05-18T03:46:48.0353222Z [       OK ] MetaprogrammingTest.ExtractArgByFilteredIndex_singleInput (0 ms)
2022-05-18T03:46:48.0353734Z [ RUN      ] MetaprogrammingTest.ExtractArgByFilteredIndex_movableOnly
2022-05-18T03:46:48.0354229Z [       OK ] MetaprogrammingTest.ExtractArgByFilteredIndex_movableOnly (0 ms)
2022-05-18T03:46:48.0354729Z [ RUN      ] MetaprogrammingTest.ExtractArgByFilteredIndex_onlyCopiesIfNecessary
2022-05-18T03:46:48.0355253Z [       OK ] MetaprogrammingTest.ExtractArgByFilteredIndex_onlyCopiesIfNecessary (0 ms)
2022-05-18T03:46:48.0355937Z [ RUN      ] MetaprogrammingTest.ExtractArgByFilteredIndex_onlyMovesIfNecessary
2022-05-18T03:46:48.0356503Z [       OK ] MetaprogrammingTest.ExtractArgByFilteredIndex_onlyMovesIfNecessary (0 ms)
2022-05-18T03:46:48.0357023Z [ RUN      ] MetaprogrammingTest.ExtractArgByFilteredIndex_keepsLValueReferencesIntact
2022-05-18T03:46:48.0357570Z [       OK ] MetaprogrammingTest.ExtractArgByFilteredIndex_keepsLValueReferencesIntact (0 ms)
2022-05-18T03:46:48.0357998Z [ RUN      ] MetaprogrammingTest.FilterMap
2022-05-18T03:46:48.0358336Z [       OK ] MetaprogrammingTest.FilterMap (0 ms)
2022-05-18T03:46:48.0358699Z [ RUN      ] MetaprogrammingTest.FilterMap_emptyInput
2022-05-18T03:46:48.0359083Z [       OK ] MetaprogrammingTest.FilterMap_emptyInput (0 ms)
2022-05-18T03:46:48.0359539Z [ RUN      ] MetaprogrammingTest.FilterMap_emptyOutput
2022-05-18T03:46:48.0359959Z [       OK ] MetaprogrammingTest.FilterMap_emptyOutput (0 ms)
2022-05-18T03:46:48.0360459Z [ RUN      ] MetaprogrammingTest.FilterMap_movableOnly_byRValue
2022-05-18T03:46:48.0360952Z [       OK ] MetaprogrammingTest.FilterMap_movableOnly_byRValue (0 ms)
2022-05-18T03:46:48.0361381Z [ RUN      ] MetaprogrammingTest.FilterMap_movableOnly_byValue
2022-05-18T03:46:48.0361867Z [       OK ] MetaprogrammingTest.FilterMap_movableOnly_byValue (0 ms)
2022-05-18T03:46:48.0362323Z [ RUN      ] MetaprogrammingTest.FilterMap_onlyCopiesIfNecessary
2022-05-18T03:46:48.0362802Z [       OK ] MetaprogrammingTest.FilterMap_onlyCopiesIfNecessary (0 ms)
2022-05-18T03:46:48.0363444Z [ RUN      ] MetaprogrammingTest.FilterMap_onlyMovesIfNecessary_1
2022-05-18T03:46:48.0363877Z [       OK ] MetaprogrammingTest.FilterMap_onlyMovesIfNecessary_1 (0 ms)
2022-05-18T03:46:48.0364298Z [ RUN      ] MetaprogrammingTest.FilterMap_onlyMovesIfNecessary_2
2022-05-18T03:46:48.0364718Z [       OK ] MetaprogrammingTest.FilterMap_onlyMovesIfNecessary_2 (0 ms)
2022-05-18T03:46:48.0365182Z [ RUN      ] MetaprogrammingTest.TupleElements_subsetSelection
2022-05-18T03:46:48.0365654Z [       OK ] MetaprogrammingTest.TupleElements_subsetSelection (0 ms)
2022-05-18T03:46:48.0366102Z [ RUN      ] MetaprogrammingTest.TupleElements_reorderSelection
2022-05-18T03:46:48.0366590Z [       OK ] MetaprogrammingTest.TupleElements_reorderSelection (0 ms)
2022-05-18T03:46:48.0366995Z [ RUN      ] MetaprogrammingTest.TupleTake_nonemptyPrefix
2022-05-18T03:46:48.0367394Z [       OK ] MetaprogrammingTest.TupleTake_nonemptyPrefix (0 ms)
2022-05-18T03:46:48.0367766Z [ RUN      ] MetaprogrammingTest.TupleTake_fullPrefix
2022-05-18T03:46:48.0368148Z [       OK ] MetaprogrammingTest.TupleTake_fullPrefix (0 ms)
2022-05-18T03:46:48.0368516Z [ RUN      ] MetaprogrammingTest.TupleTake_negative
2022-05-18T03:46:48.0368875Z [       OK ] MetaprogrammingTest.TupleTake_negative (0 ms)
2022-05-18T03:46:48.0369248Z [ RUN      ] MetaprogrammingTest.TupleSlice_middle
2022-05-18T03:46:48.0369655Z [       OK ] MetaprogrammingTest.TupleSlice_middle (0 ms)
2022-05-18T03:46:48.0370118Z [ RUN      ] MetaprogrammingTest.TupleSlice_full
2022-05-18T03:46:48.0370511Z [       OK ] MetaprogrammingTest.TupleSlice_full (0 ms)
2022-05-18T03:46:48.0370951Z [ RUN      ] MetaprogrammingTest.TupleMap_simple
2022-05-18T03:46:48.0371347Z [       OK ] MetaprogrammingTest.TupleMap_simple (0 ms)
2022-05-18T03:46:48.0371775Z [ RUN      ] MetaprogrammingTest.TupleMap_mapperTakesDifferentButConvertibleType
2022-05-18T03:46:48.0372297Z [       OK ] MetaprogrammingTest.TupleMap_mapperTakesDifferentButConvertibleType (0 ms)
2022-05-18T03:46:48.0372753Z [ RUN      ] MetaprogrammingTest.TupleMap_mapperTakesConstRef
2022-05-18T03:46:48.0373156Z [       OK ] MetaprogrammingTest.TupleMap_mapperTakesConstRef (0 ms)
2022-05-18T03:46:48.0373661Z [ RUN      ] MetaprogrammingTest.TupleMap_mapsToDifferentTypes
2022-05-18T03:46:48.0374081Z [       OK ] MetaprogrammingTest.TupleMap_mapsToDifferentTypes (0 ms)
2022-05-18T03:46:48.0374526Z [ RUN      ] MetaprogrammingTest.TupleMap_differentiatesLRValueReferences
2022-05-18T03:46:48.0374984Z [       OK ] MetaprogrammingTest.TupleMap_differentiatesLRValueReferences (0 ms)
2022-05-18T03:46:48.0375442Z [ RUN      ] MetaprogrammingTest.TupleMap_canWorkWithMovableOnlyType
2022-05-18T03:46:48.0375892Z [       OK ] MetaprogrammingTest.TupleMap_canWorkWithMovableOnlyType (0 ms)
2022-05-18T03:46:48.0376323Z [ RUN      ] MetaprogrammingTest.TupleMap_doesntUnecessarilyCopyValues
2022-05-18T03:46:48.0376779Z [       OK ] MetaprogrammingTest.TupleMap_doesntUnecessarilyCopyValues (0 ms)
2022-05-18T03:46:48.0377232Z [ RUN      ] MetaprogrammingTest.TupleMap_doesntUnecessarilyMoveValues
2022-05-18T03:46:48.0377690Z [       OK ] MetaprogrammingTest.TupleMap_doesntUnecessarilyMoveValues (0 ms)
2022-05-18T03:46:48.0378163Z [ RUN      ] MetaprogrammingTest.TupleMap_canBeUsedWithAutoLambdas
2022-05-18T03:46:48.0378600Z [       OK ] MetaprogrammingTest.TupleMap_canBeUsedWithAutoLambdas (0 ms)
2022-05-18T03:46:48.0379008Z [ RUN      ] MetaprogrammingTest.TupleConcat_zerotuples
2022-05-18T03:46:48.0379389Z [       OK ] MetaprogrammingTest.TupleConcat_zerotuples (0 ms)
2022-05-18T03:46:48.0379784Z [ RUN      ] MetaprogrammingTest.TupleConcat_oneemptytuple
2022-05-18T03:46:48.0380186Z [       OK ] MetaprogrammingTest.TupleConcat_oneemptytuple (0 ms)
2022-05-18T03:46:48.0380589Z [ RUN      ] MetaprogrammingTest.TupleConcat_onenonemptytuple
2022-05-18T03:46:48.0380991Z [       OK ] MetaprogrammingTest.TupleConcat_onenonemptytuple (0 ms)
2022-05-18T03:46:48.0381385Z [ RUN      ] MetaprogrammingTest.TupleConcat_twotuples
2022-05-18T03:46:48.0381772Z [       OK ] MetaprogrammingTest.TupleConcat_twotuples (0 ms)
2022-05-18T03:46:48.0382145Z [ RUN      ] MetaprogrammingTest.TupleConcat_threetuples
2022-05-18T03:46:48.0382541Z [       OK ] MetaprogrammingTest.TupleConcat_threetuples (0 ms)
2022-05-18T03:46:48.0382954Z [ RUN      ] MetaprogrammingTest.TupleConcat_emptytupleatbeginning
2022-05-18T03:46:48.0383393Z [       OK ] MetaprogrammingTest.TupleConcat_emptytupleatbeginning (0 ms)
2022-05-18T03:46:48.0383804Z [ RUN      ] MetaprogrammingTest.TupleConcat_emptytupleinmiddle
2022-05-18T03:46:48.0384232Z [       OK ] MetaprogrammingTest.TupleConcat_emptytupleinmiddle (0 ms)
2022-05-18T03:46:48.0384659Z [ RUN      ] MetaprogrammingTest.TupleConcat_emptytupleatend
2022-05-18T03:46:48.0385306Z [       OK ] MetaprogrammingTest.TupleConcat_emptytupleatend (0 ms)
2022-05-18T03:46:48.0386047Z [ RUN      ] MetaprogrammingTest.TupleConcat_workswithreferencesandpointers
2022-05-18T03:46:48.0386801Z [       OK ] MetaprogrammingTest.TupleConcat_workswithreferencesandpointers (0 ms)
2022-05-18T03:46:48.0387513Z [ RUN      ] MetaprogrammingTest.TupleConcat_worksWithMovableOnlyTypes
2022-05-18T03:46:48.0388274Z [       OK ] MetaprogrammingTest.TupleConcat_worksWithMovableOnlyTypes (0 ms)
2022-05-18T03:46:48.0388987Z [ RUN      ] MetaprogrammingTest.TupleConcat_doesntCopyMoreThanNecessary
2022-05-18T03:46:48.0389493Z [       OK ] MetaprogrammingTest.TupleConcat_doesntCopyMoreThanNecessary (0 ms)
2022-05-18T03:46:48.0389913Z [----------] 41 tests from MetaprogrammingTest (0 ms total)
2022-05-18T03:46:48.0390093Z 
2022-05-18T03:46:48.0390270Z [----------] Global test environment tear-down
2022-05-18T03:46:48.0390632Z [==========] 41 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:46:48.0390903Z [  PASSED  ] 41 tests.
2022-05-18T03:46:48.0391270Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:48.0391498Z + case "$test" in
2022-05-18T03:46:48.0391854Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_SizesAndStrides_test
2022-05-18T03:46:48.0392296Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:48.0392938Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_SizesAndStrides_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_SizesAndStrides_test.xml
2022-05-18T03:46:48.0393402Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:48.0393772Z [==========] Running 18 tests from 1 test suite.
2022-05-18T03:46:48.0394070Z [----------] Global test environment set-up.
2022-05-18T03:46:48.0394452Z [----------] 18 tests from SizesAndStridesTest
2022-05-18T03:46:48.0395090Z [ RUN      ] SizesAndStridesTest.DefaultConstructor
2022-05-18T03:46:48.0395498Z [       OK ] SizesAndStridesTest.DefaultConstructor (0 ms)
2022-05-18T03:46:48.0395889Z [ RUN      ] SizesAndStridesTest.SetSizes
2022-05-18T03:46:48.0396233Z [       OK ] SizesAndStridesTest.SetSizes (0 ms)
2022-05-18T03:46:48.0396557Z [ RUN      ] SizesAndStridesTest.Resize
2022-05-18T03:46:48.0396922Z [       OK ] SizesAndStridesTest.Resize (0 ms)
2022-05-18T03:46:48.0397354Z [ RUN      ] SizesAndStridesTest.SetAtIndex
2022-05-18T03:46:48.0397977Z [       OK ] SizesAndStridesTest.SetAtIndex (0 ms)
2022-05-18T03:46:48.0398330Z [ RUN      ] SizesAndStridesTest.SetAtIterator
2022-05-18T03:46:48.0398690Z [       OK ] SizesAndStridesTest.SetAtIterator (0 ms)
2022-05-18T03:46:48.0399038Z [ RUN      ] SizesAndStridesTest.SetViaData
2022-05-18T03:46:48.0399371Z [       OK ] SizesAndStridesTest.SetViaData (0 ms)
2022-05-18T03:46:48.0399730Z [ RUN      ] SizesAndStridesTest.MoveConstructor
2022-05-18T03:46:48.0400169Z [       OK ] SizesAndStridesTest.MoveConstructor (0 ms)
2022-05-18T03:46:48.0400547Z [ RUN      ] SizesAndStridesTest.CopyConstructor
2022-05-18T03:46:48.0400912Z [       OK ] SizesAndStridesTest.CopyConstructor (0 ms)
2022-05-18T03:46:48.0401398Z [ RUN      ] SizesAndStridesTest.CopyAssignmentSmallToSmall
2022-05-18T03:46:48.0401851Z [       OK ] SizesAndStridesTest.CopyAssignmentSmallToSmall (0 ms)
2022-05-18T03:46:48.0402589Z [ RUN      ] SizesAndStridesTest.MoveAssignmentSmallToSmall
2022-05-18T03:46:48.0403296Z [       OK ] SizesAndStridesTest.MoveAssignmentSmallToSmall (0 ms)
2022-05-18T03:46:48.0403734Z [ RUN      ] SizesAndStridesTest.CopyAssignmentSmallToBig
2022-05-18T03:46:48.0404169Z [       OK ] SizesAndStridesTest.CopyAssignmentSmallToBig (0 ms)
2022-05-18T03:46:48.0404582Z [ RUN      ] SizesAndStridesTest.MoveAssignmentSmallToBig
2022-05-18T03:46:48.0405016Z [       OK ] SizesAndStridesTest.MoveAssignmentSmallToBig (0 ms)
2022-05-18T03:46:48.0405436Z [ RUN      ] SizesAndStridesTest.CopyAssignmentBigToBig
2022-05-18T03:46:48.0405851Z [       OK ] SizesAndStridesTest.CopyAssignmentBigToBig (0 ms)
2022-05-18T03:46:48.0406264Z [ RUN      ] SizesAndStridesTest.MoveAssignmentBigToBig
2022-05-18T03:46:48.0406680Z [       OK ] SizesAndStridesTest.MoveAssignmentBigToBig (0 ms)
2022-05-18T03:46:48.0407088Z [ RUN      ] SizesAndStridesTest.CopyAssignmentBigToSmall
2022-05-18T03:46:48.0407520Z [       OK ] SizesAndStridesTest.CopyAssignmentBigToSmall (0 ms)
2022-05-18T03:46:48.0407946Z [ RUN      ] SizesAndStridesTest.MoveAssignmentBigToSmall
2022-05-18T03:46:48.0408371Z [       OK ] SizesAndStridesTest.MoveAssignmentBigToSmall (0 ms)
2022-05-18T03:46:48.0408766Z [ RUN      ] SizesAndStridesTest.CopyAssignmentSelf
2022-05-18T03:46:48.0409159Z [       OK ] SizesAndStridesTest.CopyAssignmentSelf (0 ms)
2022-05-18T03:46:48.0409638Z [ RUN      ] SizesAndStridesTest.MoveAssignmentSelf
2022-05-18T03:46:48.0410017Z [       OK ] SizesAndStridesTest.MoveAssignmentSelf (0 ms)
2022-05-18T03:46:48.0410412Z [----------] 18 tests from SizesAndStridesTest (0 ms total)
2022-05-18T03:46:48.0410589Z 
2022-05-18T03:46:48.0410767Z [----------] Global test environment tear-down
2022-05-18T03:46:48.0411113Z [==========] 18 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:46:48.0411372Z [  PASSED  ] 18 tests.
2022-05-18T03:46:48.0411673Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:48.0411902Z + case "$test" in
2022-05-18T03:46:48.0412227Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_SmallVectorTest
2022-05-18T03:46:48.0412615Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:48.0413167Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_SmallVectorTest --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_SmallVectorTest.xml
2022-05-18T03:46:48.0424238Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:48.0425596Z [==========] Running 221 tests from 15 test suites.
2022-05-18T03:46:48.0426126Z [----------] Global test environment set-up.
2022-05-18T03:46:48.0427412Z [----------] 37 tests from SmallVectorTest/0, where TypeParam = c10::SmallVector<(anonymous namespace)::Constructable, 0u>
2022-05-18T03:46:48.0428109Z [ RUN      ] SmallVectorTest/0.ConstructorNonIterTest
2022-05-18T03:46:48.0428612Z [       OK ] SmallVectorTest/0.ConstructorNonIterTest (0 ms)
2022-05-18T03:46:48.0429085Z [ RUN      ] SmallVectorTest/0.ConstructorIterTest
2022-05-18T03:46:48.0429622Z [       OK ] SmallVectorTest/0.ConstructorIterTest (0 ms)
2022-05-18T03:46:48.0430153Z [ RUN      ] SmallVectorTest/0.EmptyVectorTest
2022-05-18T03:46:48.0430749Z [       OK ] SmallVectorTest/0.EmptyVectorTest (0 ms)
2022-05-18T03:46:48.0431327Z [ RUN      ] SmallVectorTest/0.PushPopTest
2022-05-18T03:46:48.0431716Z [       OK ] SmallVectorTest/0.PushPopTest (0 ms)
2022-05-18T03:46:48.0432097Z [ RUN      ] SmallVectorTest/0.ClearTest
2022-05-18T03:46:48.0432513Z [       OK ] SmallVectorTest/0.ClearTest (0 ms)
2022-05-18T03:46:48.0432962Z [ RUN      ] SmallVectorTest/0.ResizeShrinkTest
2022-05-18T03:46:48.0433479Z [       OK ] SmallVectorTest/0.ResizeShrinkTest (0 ms)
2022-05-18T03:46:48.0434068Z [ RUN      ] SmallVectorTest/0.ResizeGrowTest
2022-05-18T03:46:48.0434645Z [       OK ] SmallVectorTest/0.ResizeGrowTest (0 ms)
2022-05-18T03:46:48.0435116Z [ RUN      ] SmallVectorTest/0.ResizeWithElementsTest
2022-05-18T03:46:48.0435665Z [       OK ] SmallVectorTest/0.ResizeWithElementsTest (0 ms)
2022-05-18T03:46:48.0436107Z [ RUN      ] SmallVectorTest/0.ResizeFillTest
2022-05-18T03:46:48.0436523Z [       OK ] SmallVectorTest/0.ResizeFillTest (0 ms)
2022-05-18T03:46:48.0437048Z [ RUN      ] SmallVectorTest/0.OverflowTest
2022-05-18T03:46:48.0437543Z [       OK ] SmallVectorTest/0.OverflowTest (0 ms)
2022-05-18T03:46:48.0438024Z [ RUN      ] SmallVectorTest/0.IterationTest
2022-05-18T03:46:48.0438518Z [       OK ] SmallVectorTest/0.IterationTest (0 ms)
2022-05-18T03:46:48.0438994Z [ RUN      ] SmallVectorTest/0.SwapTest
2022-05-18T03:46:48.0439470Z [       OK ] SmallVectorTest/0.SwapTest (0 ms)
2022-05-18T03:46:48.0440006Z [ RUN      ] SmallVectorTest/0.AppendTest
2022-05-18T03:46:48.0440482Z [       OK ] SmallVectorTest/0.AppendTest (0 ms)
2022-05-18T03:46:48.0441031Z [ RUN      ] SmallVectorTest/0.AppendRepeatedTest
2022-05-18T03:46:48.0441621Z [       OK ] SmallVectorTest/0.AppendRepeatedTest (0 ms)
2022-05-18T03:46:48.0442298Z [ RUN      ] SmallVectorTest/0.AppendNonIterTest
2022-05-18T03:46:48.0442727Z [       OK ] SmallVectorTest/0.AppendNonIterTest (0 ms)
2022-05-18T03:46:48.0443429Z [ RUN      ] SmallVectorTest/0.AppendRepeatedNonForwardIterator
2022-05-18T03:46:48.0444088Z [       OK ] SmallVectorTest/0.AppendRepeatedNonForwardIterator (0 ms)
2022-05-18T03:46:48.0444673Z [ RUN      ] SmallVectorTest/0.AppendSmallVector
2022-05-18T03:46:48.0445179Z [       OK ] SmallVectorTest/0.AppendSmallVector (0 ms)
2022-05-18T03:46:48.0445718Z [ RUN      ] SmallVectorTest/0.AssignTest
2022-05-18T03:46:48.0446209Z [       OK ] SmallVectorTest/0.AssignTest (0 ms)
2022-05-18T03:46:48.0446763Z [ RUN      ] SmallVectorTest/0.AssignRangeTest
2022-05-18T03:46:48.0447352Z [       OK ] SmallVectorTest/0.AssignRangeTest (0 ms)
2022-05-18T03:46:48.0447912Z [ RUN      ] SmallVectorTest/0.AssignNonIterTest
2022-05-18T03:46:48.0448515Z [       OK ] SmallVectorTest/0.AssignNonIterTest (0 ms)
2022-05-18T03:46:48.0449140Z [ RUN      ] SmallVectorTest/0.AssignSmallVector
2022-05-18T03:46:48.0449660Z [       OK ] SmallVectorTest/0.AssignSmallVector (0 ms)
2022-05-18T03:46:48.0450194Z [ RUN      ] SmallVectorTest/0.MoveAssignTest
2022-05-18T03:46:48.0450719Z [       OK ] SmallVectorTest/0.MoveAssignTest (0 ms)
2022-05-18T03:46:48.0451227Z [ RUN      ] SmallVectorTest/0.EraseTest
2022-05-18T03:46:48.0451700Z [       OK ] SmallVectorTest/0.EraseTest (0 ms)
2022-05-18T03:46:48.0452123Z [ RUN      ] SmallVectorTest/0.EraseRangeTest
2022-05-18T03:46:48.0452633Z [       OK ] SmallVectorTest/0.EraseRangeTest (0 ms)
2022-05-18T03:46:48.0453179Z [ RUN      ] SmallVectorTest/0.InsertTest
2022-05-18T03:46:48.0453676Z [       OK ] SmallVectorTest/0.InsertTest (0 ms)
2022-05-18T03:46:48.0454193Z [ RUN      ] SmallVectorTest/0.InsertCopy
2022-05-18T03:46:48.0454711Z [       OK ] SmallVectorTest/0.InsertCopy (0 ms)
2022-05-18T03:46:48.0455232Z [ RUN      ] SmallVectorTest/0.InsertRepeatedTest
2022-05-18T03:46:48.0455810Z [       OK ] SmallVectorTest/0.InsertRepeatedTest (0 ms)
2022-05-18T03:46:48.0456446Z [ RUN      ] SmallVectorTest/0.InsertRepeatedNonIterTest
2022-05-18T03:46:48.0457117Z [       OK ] SmallVectorTest/0.InsertRepeatedNonIterTest (0 ms)
2022-05-18T03:46:48.0457624Z [ RUN      ] SmallVectorTest/0.InsertRepeatedAtEndTest
2022-05-18T03:46:48.0458231Z [       OK ] SmallVectorTest/0.InsertRepeatedAtEndTest (0 ms)
2022-05-18T03:46:48.0458858Z [ RUN      ] SmallVectorTest/0.InsertRepeatedEmptyTest
2022-05-18T03:46:48.0459508Z [       OK ] SmallVectorTest/0.InsertRepeatedEmptyTest (0 ms)
2022-05-18T03:46:48.0460059Z [ RUN      ] SmallVectorTest/0.InsertRangeTest
2022-05-18T03:46:48.0460392Z [       OK ] SmallVectorTest/0.InsertRangeTest (0 ms)
2022-05-18T03:46:48.0460724Z [ RUN      ] SmallVectorTest/0.InsertRangeAtEndTest
2022-05-18T03:46:48.0461081Z [       OK ] SmallVectorTest/0.InsertRangeAtEndTest (0 ms)
2022-05-18T03:46:48.0461431Z [ RUN      ] SmallVectorTest/0.InsertEmptyRangeTest
2022-05-18T03:46:48.0461771Z [       OK ] SmallVectorTest/0.InsertEmptyRangeTest (0 ms)
2022-05-18T03:46:48.0462108Z [ RUN      ] SmallVectorTest/0.ComparisonTest
2022-05-18T03:46:48.0462438Z [       OK ] SmallVectorTest/0.ComparisonTest (0 ms)
2022-05-18T03:46:48.0462751Z [ RUN      ] SmallVectorTest/0.ConstVectorTest
2022-05-18T03:46:48.0463083Z [       OK ] SmallVectorTest/0.ConstVectorTest (0 ms)
2022-05-18T03:46:48.0463413Z [ RUN      ] SmallVectorTest/0.DirectVectorTest
2022-05-18T03:46:48.0463748Z [       OK ] SmallVectorTest/0.DirectVectorTest (0 ms)
2022-05-18T03:46:48.0464058Z [ RUN      ] SmallVectorTest/0.IteratorTest
2022-05-18T03:46:48.0464480Z [       OK ] SmallVectorTest/0.IteratorTest (0 ms)
2022-05-18T03:46:48.0464832Z [----------] 37 tests from SmallVectorTest/0 (0 ms total)
2022-05-18T03:46:48.0465004Z 
2022-05-18T03:46:48.0465489Z [----------] 37 tests from SmallVectorTest/1, where TypeParam = c10::SmallVector<(anonymous namespace)::Constructable, 1u>
2022-05-18T03:46:48.0465920Z [ RUN      ] SmallVectorTest/1.ConstructorNonIterTest
2022-05-18T03:46:48.0466289Z [       OK ] SmallVectorTest/1.ConstructorNonIterTest (0 ms)
2022-05-18T03:46:48.0466644Z [ RUN      ] SmallVectorTest/1.ConstructorIterTest
2022-05-18T03:46:48.0466978Z [       OK ] SmallVectorTest/1.ConstructorIterTest (0 ms)
2022-05-18T03:46:48.0467314Z [ RUN      ] SmallVectorTest/1.EmptyVectorTest
2022-05-18T03:46:48.0467649Z [       OK ] SmallVectorTest/1.EmptyVectorTest (0 ms)
2022-05-18T03:46:48.0467959Z [ RUN      ] SmallVectorTest/1.PushPopTest
2022-05-18T03:46:48.0468286Z [       OK ] SmallVectorTest/1.PushPopTest (0 ms)
2022-05-18T03:46:48.0468643Z [ RUN      ] SmallVectorTest/1.ClearTest
2022-05-18T03:46:48.0468942Z [       OK ] SmallVectorTest/1.ClearTest (0 ms)
2022-05-18T03:46:48.0469265Z [ RUN      ] SmallVectorTest/1.ResizeShrinkTest
2022-05-18T03:46:48.0469597Z [       OK ] SmallVectorTest/1.ResizeShrinkTest (0 ms)
2022-05-18T03:46:48.0470093Z [ RUN      ] SmallVectorTest/1.ResizeGrowTest
2022-05-18T03:46:48.0470411Z [       OK ] SmallVectorTest/1.ResizeGrowTest (0 ms)
2022-05-18T03:46:48.0470758Z [ RUN      ] SmallVectorTest/1.ResizeWithElementsTest
2022-05-18T03:46:48.0471123Z [       OK ] SmallVectorTest/1.ResizeWithElementsTest (0 ms)
2022-05-18T03:46:48.0471448Z [ RUN      ] SmallVectorTest/1.ResizeFillTest
2022-05-18T03:46:48.0471777Z [       OK ] SmallVectorTest/1.ResizeFillTest (0 ms)
2022-05-18T03:46:48.0472100Z [ RUN      ] SmallVectorTest/1.OverflowTest
2022-05-18T03:46:48.0472407Z [       OK ] SmallVectorTest/1.OverflowTest (0 ms)
2022-05-18T03:46:48.0472726Z [ RUN      ] SmallVectorTest/1.IterationTest
2022-05-18T03:46:48.0473053Z [       OK ] SmallVectorTest/1.IterationTest (0 ms)
2022-05-18T03:46:48.0473361Z [ RUN      ] SmallVectorTest/1.SwapTest
2022-05-18T03:46:48.0473654Z [       OK ] SmallVectorTest/1.SwapTest (0 ms)
2022-05-18T03:46:48.0473961Z [ RUN      ] SmallVectorTest/1.AppendTest
2022-05-18T03:46:48.0474279Z [       OK ] SmallVectorTest/1.AppendTest (0 ms)
2022-05-18T03:46:48.0474595Z [ RUN      ] SmallVectorTest/1.AppendRepeatedTest
2022-05-18T03:46:48.0474941Z [       OK ] SmallVectorTest/1.AppendRepeatedTest (0 ms)
2022-05-18T03:46:48.0475281Z [ RUN      ] SmallVectorTest/1.AppendNonIterTest
2022-05-18T03:46:48.0475608Z [       OK ] SmallVectorTest/1.AppendNonIterTest (0 ms)
2022-05-18T03:46:48.0475990Z [ RUN      ] SmallVectorTest/1.AppendRepeatedNonForwardIterator
2022-05-18T03:46:48.0476415Z [       OK ] SmallVectorTest/1.AppendRepeatedNonForwardIterator (0 ms)
2022-05-18T03:46:48.0476789Z [ RUN      ] SmallVectorTest/1.AppendSmallVector
2022-05-18T03:46:48.0477116Z [       OK ] SmallVectorTest/1.AppendSmallVector (0 ms)
2022-05-18T03:46:48.0477437Z [ RUN      ] SmallVectorTest/1.AssignTest
2022-05-18T03:46:48.0477748Z [       OK ] SmallVectorTest/1.AssignTest (0 ms)
2022-05-18T03:46:48.0478053Z [ RUN      ] SmallVectorTest/1.AssignRangeTest
2022-05-18T03:46:48.0478383Z [       OK ] SmallVectorTest/1.AssignRangeTest (0 ms)
2022-05-18T03:46:48.0478712Z [ RUN      ] SmallVectorTest/1.AssignNonIterTest
2022-05-18T03:46:48.0479035Z [       OK ] SmallVectorTest/1.AssignNonIterTest (0 ms)
2022-05-18T03:46:48.0479366Z [ RUN      ] SmallVectorTest/1.AssignSmallVector
2022-05-18T03:46:48.0479746Z [       OK ] SmallVectorTest/1.AssignSmallVector (0 ms)
2022-05-18T03:46:48.0480072Z [ RUN      ] SmallVectorTest/1.MoveAssignTest
2022-05-18T03:46:48.0480389Z [       OK ] SmallVectorTest/1.MoveAssignTest (0 ms)
2022-05-18T03:46:48.0480697Z [ RUN      ] SmallVectorTest/1.EraseTest
2022-05-18T03:46:48.0481008Z [       OK ] SmallVectorTest/1.EraseTest (0 ms)
2022-05-18T03:46:48.0481309Z [ RUN      ] SmallVectorTest/1.EraseRangeTest
2022-05-18T03:46:48.0481642Z [       OK ] SmallVectorTest/1.EraseRangeTest (0 ms)
2022-05-18T03:46:48.0481952Z [ RUN      ] SmallVectorTest/1.InsertTest
2022-05-18T03:46:48.0482251Z [       OK ] SmallVectorTest/1.InsertTest (0 ms)
2022-05-18T03:46:48.0482558Z [ RUN      ] SmallVectorTest/1.InsertCopy
2022-05-18T03:46:48.0482869Z [       OK ] SmallVectorTest/1.InsertCopy (0 ms)
2022-05-18T03:46:48.0483377Z [ RUN      ] SmallVectorTest/1.InsertRepeatedTest
2022-05-18T03:46:48.0483715Z [       OK ] SmallVectorTest/1.InsertRepeatedTest (0 ms)
2022-05-18T03:46:48.0484156Z [ RUN      ] SmallVectorTest/1.InsertRepeatedNonIterTest
2022-05-18T03:46:48.0484542Z [       OK ] SmallVectorTest/1.InsertRepeatedNonIterTest (0 ms)
2022-05-18T03:46:48.0484904Z [ RUN      ] SmallVectorTest/1.InsertRepeatedAtEndTest
2022-05-18T03:46:48.0485273Z [       OK ] SmallVectorTest/1.InsertRepeatedAtEndTest (0 ms)
2022-05-18T03:46:48.0485637Z [ RUN      ] SmallVectorTest/1.InsertRepeatedEmptyTest
2022-05-18T03:46:48.0485993Z [       OK ] SmallVectorTest/1.InsertRepeatedEmptyTest (0 ms)
2022-05-18T03:46:48.0486337Z [ RUN      ] SmallVectorTest/1.InsertRangeTest
2022-05-18T03:46:48.0486666Z [       OK ] SmallVectorTest/1.InsertRangeTest (0 ms)
2022-05-18T03:46:48.0487003Z [ RUN      ] SmallVectorTest/1.InsertRangeAtEndTest
2022-05-18T03:46:48.0487345Z [       OK ] SmallVectorTest/1.InsertRangeAtEndTest (0 ms)
2022-05-18T03:46:48.0487699Z [ RUN      ] SmallVectorTest/1.InsertEmptyRangeTest
2022-05-18T03:46:48.0488055Z [       OK ] SmallVectorTest/1.InsertEmptyRangeTest (0 ms)
2022-05-18T03:46:48.0488378Z [ RUN      ] SmallVectorTest/1.ComparisonTest
2022-05-18T03:46:48.0488705Z [       OK ] SmallVectorTest/1.ComparisonTest (0 ms)
2022-05-18T03:46:48.0489033Z [ RUN      ] SmallVectorTest/1.ConstVectorTest
2022-05-18T03:46:48.0489350Z [       OK ] SmallVectorTest/1.ConstVectorTest (0 ms)
2022-05-18T03:46:48.0489675Z [ RUN      ] SmallVectorTest/1.DirectVectorTest
2022-05-18T03:46:48.0490007Z [       OK ] SmallVectorTest/1.DirectVectorTest (0 ms)
2022-05-18T03:46:48.0490328Z [ RUN      ] SmallVectorTest/1.IteratorTest
2022-05-18T03:46:48.0490637Z [       OK ] SmallVectorTest/1.IteratorTest (0 ms)
2022-05-18T03:46:48.0490984Z [----------] 37 tests from SmallVectorTest/1 (0 ms total)
2022-05-18T03:46:48.0491153Z 
2022-05-18T03:46:48.0491529Z [----------] 37 tests from SmallVectorTest/2, where TypeParam = c10::SmallVector<(anonymous namespace)::Constructable, 2u>
2022-05-18T03:46:48.0491945Z [ RUN      ] SmallVectorTest/2.ConstructorNonIterTest
2022-05-18T03:46:48.0492311Z [       OK ] SmallVectorTest/2.ConstructorNonIterTest (0 ms)
2022-05-18T03:46:48.0492798Z [ RUN      ] SmallVectorTest/2.ConstructorIterTest
2022-05-18T03:46:48.0493219Z [       OK ] SmallVectorTest/2.ConstructorIterTest (0 ms)
2022-05-18T03:46:48.0493674Z [ RUN      ] SmallVectorTest/2.EmptyVectorTest
2022-05-18T03:46:48.0494255Z [       OK ] SmallVectorTest/2.EmptyVectorTest (0 ms)
2022-05-18T03:46:48.0494580Z [ RUN      ] SmallVectorTest/2.PushPopTest
2022-05-18T03:46:48.0494893Z [       OK ] SmallVectorTest/2.PushPopTest (0 ms)
2022-05-18T03:46:48.0495201Z [ RUN      ] SmallVectorTest/2.ClearTest
2022-05-18T03:46:48.0495590Z [       OK ] SmallVectorTest/2.ClearTest (0 ms)
2022-05-18T03:46:48.0495979Z [ RUN      ] SmallVectorTest/2.ResizeShrinkTest
2022-05-18T03:46:48.0496466Z [       OK ] SmallVectorTest/2.ResizeShrinkTest (0 ms)
2022-05-18T03:46:48.0497041Z [ RUN      ] SmallVectorTest/2.ResizeGrowTest
2022-05-18T03:46:48.0497370Z [       OK ] SmallVectorTest/2.ResizeGrowTest (0 ms)
2022-05-18T03:46:48.0497698Z [ RUN      ] SmallVectorTest/2.ResizeWithElementsTest
2022-05-18T03:46:48.0498062Z [       OK ] SmallVectorTest/2.ResizeWithElementsTest (0 ms)
2022-05-18T03:46:48.0498401Z [ RUN      ] SmallVectorTest/2.ResizeFillTest
2022-05-18T03:46:48.0498716Z [       OK ] SmallVectorTest/2.ResizeFillTest (0 ms)
2022-05-18T03:46:48.0499172Z [ RUN      ] SmallVectorTest/2.OverflowTest
2022-05-18T03:46:48.0499495Z [       OK ] SmallVectorTest/2.OverflowTest (0 ms)
2022-05-18T03:46:48.0499797Z [ RUN      ] SmallVectorTest/2.IterationTest
2022-05-18T03:46:48.0500126Z [       OK ] SmallVectorTest/2.IterationTest (0 ms)
2022-05-18T03:46:48.0500485Z [ RUN      ] SmallVectorTest/2.SwapTest
2022-05-18T03:46:48.0500794Z [       OK ] SmallVectorTest/2.SwapTest (0 ms)
2022-05-18T03:46:48.0501087Z [ RUN      ] SmallVectorTest/2.AppendTest
2022-05-18T03:46:48.0501401Z [       OK ] SmallVectorTest/2.AppendTest (0 ms)
2022-05-18T03:46:48.0501729Z [ RUN      ] SmallVectorTest/2.AppendRepeatedTest
2022-05-18T03:46:48.0502061Z [       OK ] SmallVectorTest/2.AppendRepeatedTest (0 ms)
2022-05-18T03:46:48.0502401Z [ RUN      ] SmallVectorTest/2.AppendNonIterTest
2022-05-18T03:46:48.0502742Z [       OK ] SmallVectorTest/2.AppendNonIterTest (0 ms)
2022-05-18T03:46:48.0503108Z [ RUN      ] SmallVectorTest/2.AppendRepeatedNonForwardIterator
2022-05-18T03:46:48.0503529Z [       OK ] SmallVectorTest/2.AppendRepeatedNonForwardIterator (0 ms)
2022-05-18T03:46:48.0503908Z [ RUN      ] SmallVectorTest/2.AppendSmallVector
2022-05-18T03:46:48.0504251Z [       OK ] SmallVectorTest/2.AppendSmallVector (0 ms)
2022-05-18T03:46:48.0504592Z [ RUN      ] SmallVectorTest/2.AssignTest
2022-05-18T03:46:48.0504945Z [       OK ] SmallVectorTest/2.AssignTest (0 ms)
2022-05-18T03:46:48.0505382Z [ RUN      ] SmallVectorTest/2.AssignRangeTest
2022-05-18T03:46:48.0505702Z [       OK ] SmallVectorTest/2.AssignRangeTest (0 ms)
2022-05-18T03:46:48.0506029Z [ RUN      ] SmallVectorTest/2.AssignNonIterTest
2022-05-18T03:46:48.0506367Z [       OK ] SmallVectorTest/2.AssignNonIterTest (0 ms)
2022-05-18T03:46:48.0506691Z [ RUN      ] SmallVectorTest/2.AssignSmallVector
2022-05-18T03:46:48.0507027Z [       OK ] SmallVectorTest/2.AssignSmallVector (0 ms)
2022-05-18T03:46:48.0507354Z [ RUN      ] SmallVectorTest/2.MoveAssignTest
2022-05-18T03:46:48.0507687Z [       OK ] SmallVectorTest/2.MoveAssignTest (0 ms)
2022-05-18T03:46:48.0507987Z [ RUN      ] SmallVectorTest/2.EraseTest
2022-05-18T03:46:48.0508300Z [       OK ] SmallVectorTest/2.EraseTest (0 ms)
2022-05-18T03:46:48.0508612Z [ RUN      ] SmallVectorTest/2.EraseRangeTest
2022-05-18T03:46:48.0508926Z [       OK ] SmallVectorTest/2.EraseRangeTest (0 ms)
2022-05-18T03:46:48.0509236Z [ RUN      ] SmallVectorTest/2.InsertTest
2022-05-18T03:46:48.0509550Z [       OK ] SmallVectorTest/2.InsertTest (0 ms)
2022-05-18T03:46:48.0509842Z [ RUN      ] SmallVectorTest/2.InsertCopy
2022-05-18T03:46:48.0510157Z [       OK ] SmallVectorTest/2.InsertCopy (0 ms)
2022-05-18T03:46:48.0510483Z [ RUN      ] SmallVectorTest/2.InsertRepeatedTest
2022-05-18T03:46:48.0510816Z [       OK ] SmallVectorTest/2.InsertRepeatedTest (0 ms)
2022-05-18T03:46:48.0511177Z [ RUN      ] SmallVectorTest/2.InsertRepeatedNonIterTest
2022-05-18T03:46:48.0511611Z [       OK ] SmallVectorTest/2.InsertRepeatedNonIterTest (0 ms)
2022-05-18T03:46:48.0511982Z [ RUN      ] SmallVectorTest/2.InsertRepeatedAtEndTest
2022-05-18T03:46:48.0512339Z [       OK ] SmallVectorTest/2.InsertRepeatedAtEndTest (0 ms)
2022-05-18T03:46:48.0512700Z [ RUN      ] SmallVectorTest/2.InsertRepeatedEmptyTest
2022-05-18T03:46:48.0513073Z [       OK ] SmallVectorTest/2.InsertRepeatedEmptyTest (0 ms)
2022-05-18T03:46:48.0513402Z [ RUN      ] SmallVectorTest/2.InsertRangeTest
2022-05-18T03:46:48.0513733Z [       OK ] SmallVectorTest/2.InsertRangeTest (0 ms)
2022-05-18T03:46:48.0514070Z [ RUN      ] SmallVectorTest/2.InsertRangeAtEndTest
2022-05-18T03:46:48.0514427Z [       OK ] SmallVectorTest/2.InsertRangeAtEndTest (0 ms)
2022-05-18T03:46:48.0514765Z [ RUN      ] SmallVectorTest/2.InsertEmptyRangeTest
2022-05-18T03:46:48.0515118Z [       OK ] SmallVectorTest/2.InsertEmptyRangeTest (0 ms)
2022-05-18T03:46:48.0515457Z [ RUN      ] SmallVectorTest/2.ComparisonTest
2022-05-18T03:46:48.0515808Z [       OK ] SmallVectorTest/2.ComparisonTest (0 ms)
2022-05-18T03:46:48.0516141Z [ RUN      ] SmallVectorTest/2.ConstVectorTest
2022-05-18T03:46:48.0516471Z [       OK ] SmallVectorTest/2.ConstVectorTest (0 ms)
2022-05-18T03:46:48.0516786Z [ RUN      ] SmallVectorTest/2.DirectVectorTest
2022-05-18T03:46:48.0517174Z [       OK ] SmallVectorTest/2.DirectVectorTest (0 ms)
2022-05-18T03:46:48.0517494Z [ RUN      ] SmallVectorTest/2.IteratorTest
2022-05-18T03:46:48.0517816Z [       OK ] SmallVectorTest/2.IteratorTest (0 ms)
2022-05-18T03:46:48.0518150Z [----------] 37 tests from SmallVectorTest/2 (0 ms total)
2022-05-18T03:46:48.0518319Z 
2022-05-18T03:46:48.0518702Z [----------] 37 tests from SmallVectorTest/3, where TypeParam = c10::SmallVector<(anonymous namespace)::Constructable, 4u>
2022-05-18T03:46:48.0519132Z [ RUN      ] SmallVectorTest/3.ConstructorNonIterTest
2022-05-18T03:46:48.0519557Z [       OK ] SmallVectorTest/3.ConstructorNonIterTest (0 ms)
2022-05-18T03:46:48.0520018Z [ RUN      ] SmallVectorTest/3.ConstructorIterTest
2022-05-18T03:46:48.0520491Z [       OK ] SmallVectorTest/3.ConstructorIterTest (0 ms)
2022-05-18T03:46:48.0520874Z [ RUN      ] SmallVectorTest/3.EmptyVectorTest
2022-05-18T03:46:48.0521193Z [       OK ] SmallVectorTest/3.EmptyVectorTest (0 ms)
2022-05-18T03:46:48.0541433Z [ RUN      ] SmallVectorTest/3.PushPopTest
2022-05-18T03:46:48.0542041Z [       OK ] SmallVectorTest/3.PushPopTest (0 ms)
2022-05-18T03:46:48.0542353Z [ RUN      ] SmallVectorTest/3.ClearTest
2022-05-18T03:46:48.0542674Z [       OK ] SmallVectorTest/3.ClearTest (0 ms)
2022-05-18T03:46:48.0542999Z [ RUN      ] SmallVectorTest/3.ResizeShrinkTest
2022-05-18T03:46:48.0543335Z [       OK ] SmallVectorTest/3.ResizeShrinkTest (0 ms)
2022-05-18T03:46:48.0543664Z [ RUN      ] SmallVectorTest/3.ResizeGrowTest
2022-05-18T03:46:48.0543998Z [       OK ] SmallVectorTest/3.ResizeGrowTest (0 ms)
2022-05-18T03:46:48.0544342Z [ RUN      ] SmallVectorTest/3.ResizeWithElementsTest
2022-05-18T03:46:48.0544696Z [       OK ] SmallVectorTest/3.ResizeWithElementsTest (0 ms)
2022-05-18T03:46:48.0545038Z [ RUN      ] SmallVectorTest/3.ResizeFillTest
2022-05-18T03:46:48.0545459Z [       OK ] SmallVectorTest/3.ResizeFillTest (0 ms)
2022-05-18T03:46:48.0545771Z [ RUN      ] SmallVectorTest/3.OverflowTest
2022-05-18T03:46:48.0546096Z [       OK ] SmallVectorTest/3.OverflowTest (0 ms)
2022-05-18T03:46:48.0546418Z [ RUN      ] SmallVectorTest/3.IterationTest
2022-05-18T03:46:48.0546827Z [       OK ] SmallVectorTest/3.IterationTest (0 ms)
2022-05-18T03:46:48.0547266Z [ RUN      ] SmallVectorTest/3.SwapTest
2022-05-18T03:46:48.0547974Z [       OK ] SmallVectorTest/3.SwapTest (0 ms)
2022-05-18T03:46:48.0548492Z [ RUN      ] SmallVectorTest/3.AppendTest
2022-05-18T03:46:48.0549016Z [       OK ] SmallVectorTest/3.AppendTest (0 ms)
2022-05-18T03:46:48.0549546Z [ RUN      ] SmallVectorTest/3.AppendRepeatedTest
2022-05-18T03:46:48.0550173Z [       OK ] SmallVectorTest/3.AppendRepeatedTest (0 ms)
2022-05-18T03:46:48.0550772Z [ RUN      ] SmallVectorTest/3.AppendNonIterTest
2022-05-18T03:46:48.0551383Z [       OK ] SmallVectorTest/3.AppendNonIterTest (0 ms)
2022-05-18T03:46:48.0551895Z [ RUN      ] SmallVectorTest/3.AppendRepeatedNonForwardIterator
2022-05-18T03:46:48.0552529Z [       OK ] SmallVectorTest/3.AppendRepeatedNonForwardIterator (0 ms)
2022-05-18T03:46:48.0553105Z [ RUN      ] SmallVectorTest/3.AppendSmallVector
2022-05-18T03:46:48.0553652Z [       OK ] SmallVectorTest/3.AppendSmallVector (0 ms)
2022-05-18T03:46:48.0554145Z [ RUN      ] SmallVectorTest/3.AssignTest
2022-05-18T03:46:48.0554713Z [       OK ] SmallVectorTest/3.AssignTest (0 ms)
2022-05-18T03:46:48.0555227Z [ RUN      ] SmallVectorTest/3.AssignRangeTest
2022-05-18T03:46:48.0555778Z [       OK ] SmallVectorTest/3.AssignRangeTest (0 ms)
2022-05-18T03:46:48.0556268Z [ RUN      ] SmallVectorTest/3.AssignNonIterTest
2022-05-18T03:46:48.0556806Z [       OK ] SmallVectorTest/3.AssignNonIterTest (0 ms)
2022-05-18T03:46:48.0557340Z [ RUN      ] SmallVectorTest/3.AssignSmallVector
2022-05-18T03:46:48.0557838Z [       OK ] SmallVectorTest/3.AssignSmallVector (0 ms)
2022-05-18T03:46:48.0558323Z [ RUN      ] SmallVectorTest/3.MoveAssignTest
2022-05-18T03:46:48.0558806Z [       OK ] SmallVectorTest/3.MoveAssignTest (0 ms)
2022-05-18T03:46:48.0559278Z [ RUN      ] SmallVectorTest/3.EraseTest
2022-05-18T03:46:48.0559778Z [       OK ] SmallVectorTest/3.EraseTest (0 ms)
2022-05-18T03:46:48.0560278Z [ RUN      ] SmallVectorTest/3.EraseRangeTest
2022-05-18T03:46:48.0560806Z [       OK ] SmallVectorTest/3.EraseRangeTest (0 ms)
2022-05-18T03:46:48.0561295Z [ RUN      ] SmallVectorTest/3.InsertTest
2022-05-18T03:46:48.0561805Z [       OK ] SmallVectorTest/3.InsertTest (0 ms)
2022-05-18T03:46:48.0562265Z [ RUN      ] SmallVectorTest/3.InsertCopy
2022-05-18T03:46:48.0562742Z [       OK ] SmallVectorTest/3.InsertCopy (0 ms)
2022-05-18T03:46:48.0563507Z [ RUN      ] SmallVectorTest/3.InsertRepeatedTest
2022-05-18T03:46:48.0564038Z [       OK ] SmallVectorTest/3.InsertRepeatedTest (0 ms)
2022-05-18T03:46:48.0564557Z [ RUN      ] SmallVectorTest/3.InsertRepeatedNonIterTest
2022-05-18T03:46:48.0565162Z [       OK ] SmallVectorTest/3.InsertRepeatedNonIterTest (0 ms)
2022-05-18T03:46:48.0565730Z [ RUN      ] SmallVectorTest/3.InsertRepeatedAtEndTest
2022-05-18T03:46:48.0566324Z [       OK ] SmallVectorTest/3.InsertRepeatedAtEndTest (0 ms)
2022-05-18T03:46:48.0566886Z [ RUN      ] SmallVectorTest/3.InsertRepeatedEmptyTest
2022-05-18T03:46:48.0567465Z [       OK ] SmallVectorTest/3.InsertRepeatedEmptyTest (0 ms)
2022-05-18T03:46:48.0567986Z [ RUN      ] SmallVectorTest/3.InsertRangeTest
2022-05-18T03:46:48.0568466Z [       OK ] SmallVectorTest/3.InsertRangeTest (0 ms)
2022-05-18T03:46:48.0569000Z [ RUN      ] SmallVectorTest/3.InsertRangeAtEndTest
2022-05-18T03:46:48.0569531Z [       OK ] SmallVectorTest/3.InsertRangeAtEndTest (0 ms)
2022-05-18T03:46:48.0570049Z [ RUN      ] SmallVectorTest/3.InsertEmptyRangeTest
2022-05-18T03:46:48.0570586Z [       OK ] SmallVectorTest/3.InsertEmptyRangeTest (0 ms)
2022-05-18T03:46:48.0571105Z [ RUN      ] SmallVectorTest/3.ComparisonTest
2022-05-18T03:46:48.0571631Z [       OK ] SmallVectorTest/3.ComparisonTest (0 ms)
2022-05-18T03:46:48.0572230Z [ RUN      ] SmallVectorTest/3.ConstVectorTest
2022-05-18T03:46:48.0572782Z [       OK ] SmallVectorTest/3.ConstVectorTest (0 ms)
2022-05-18T03:46:48.0573335Z [ RUN      ] SmallVectorTest/3.DirectVectorTest
2022-05-18T03:46:48.0573847Z [       OK ] SmallVectorTest/3.DirectVectorTest (0 ms)
2022-05-18T03:46:48.0574362Z [ RUN      ] SmallVectorTest/3.IteratorTest
2022-05-18T03:46:48.0574873Z [       OK ] SmallVectorTest/3.IteratorTest (0 ms)
2022-05-18T03:46:48.0575434Z [----------] 37 tests from SmallVectorTest/3 (0 ms total)
2022-05-18T03:46:48.0575682Z 
2022-05-18T03:46:48.0576291Z [----------] 37 tests from SmallVectorTest/4, where TypeParam = c10::SmallVector<(anonymous namespace)::Constructable, 5u>
2022-05-18T03:46:48.0576969Z [ RUN      ] SmallVectorTest/4.ConstructorNonIterTest
2022-05-18T03:46:48.0577537Z [       OK ] SmallVectorTest/4.ConstructorNonIterTest (0 ms)
2022-05-18T03:46:48.0578075Z [ RUN      ] SmallVectorTest/4.ConstructorIterTest
2022-05-18T03:46:48.0578701Z [       OK ] SmallVectorTest/4.ConstructorIterTest (0 ms)
2022-05-18T03:46:48.0579242Z [ RUN      ] SmallVectorTest/4.EmptyVectorTest
2022-05-18T03:46:48.0579737Z [       OK ] SmallVectorTest/4.EmptyVectorTest (0 ms)
2022-05-18T03:46:48.0580230Z [ RUN      ] SmallVectorTest/4.PushPopTest
2022-05-18T03:46:48.0580717Z [       OK ] SmallVectorTest/4.PushPopTest (0 ms)
2022-05-18T03:46:48.0581215Z [ RUN      ] SmallVectorTest/4.ClearTest
2022-05-18T03:46:48.0581696Z [       OK ] SmallVectorTest/4.ClearTest (0 ms)
2022-05-18T03:46:48.0582211Z [ RUN      ] SmallVectorTest/4.ResizeShrinkTest
2022-05-18T03:46:48.0582760Z [       OK ] SmallVectorTest/4.ResizeShrinkTest (0 ms)
2022-05-18T03:46:48.0583273Z [ RUN      ] SmallVectorTest/4.ResizeGrowTest
2022-05-18T03:46:48.0583818Z [       OK ] SmallVectorTest/4.ResizeGrowTest (0 ms)
2022-05-18T03:46:48.0584339Z [ RUN      ] SmallVectorTest/4.ResizeWithElementsTest
2022-05-18T03:46:48.0584913Z [       OK ] SmallVectorTest/4.ResizeWithElementsTest (0 ms)
2022-05-18T03:46:48.0585515Z [ RUN      ] SmallVectorTest/4.ResizeFillTest
2022-05-18T03:46:48.0585998Z [       OK ] SmallVectorTest/4.ResizeFillTest (0 ms)
2022-05-18T03:46:48.0586495Z [ RUN      ] SmallVectorTest/4.OverflowTest
2022-05-18T03:46:48.0586961Z [       OK ] SmallVectorTest/4.OverflowTest (0 ms)
2022-05-18T03:46:48.0587418Z [ RUN      ] SmallVectorTest/4.IterationTest
2022-05-18T03:46:48.0587876Z [       OK ] SmallVectorTest/4.IterationTest (0 ms)
2022-05-18T03:46:48.0588355Z [ RUN      ] SmallVectorTest/4.SwapTest
2022-05-18T03:46:48.0588828Z [       OK ] SmallVectorTest/4.SwapTest (0 ms)
2022-05-18T03:46:48.0589313Z [ RUN      ] SmallVectorTest/4.AppendTest
2022-05-18T03:46:48.0589802Z [       OK ] SmallVectorTest/4.AppendTest (0 ms)
2022-05-18T03:46:48.0590294Z [ RUN      ] SmallVectorTest/4.AppendRepeatedTest
2022-05-18T03:46:48.0590827Z [       OK ] SmallVectorTest/4.AppendRepeatedTest (0 ms)
2022-05-18T03:46:48.0591349Z [ RUN      ] SmallVectorTest/4.AppendNonIterTest
2022-05-18T03:46:48.0591856Z [       OK ] SmallVectorTest/4.AppendNonIterTest (0 ms)
2022-05-18T03:46:48.0592429Z [ RUN      ] SmallVectorTest/4.AppendRepeatedNonForwardIterator
2022-05-18T03:46:48.0593087Z [       OK ] SmallVectorTest/4.AppendRepeatedNonForwardIterator (0 ms)
2022-05-18T03:46:48.0593656Z [ RUN      ] SmallVectorTest/4.AppendSmallVector
2022-05-18T03:46:48.0594187Z [       OK ] SmallVectorTest/4.AppendSmallVector (0 ms)
2022-05-18T03:46:48.0594684Z [ RUN      ] SmallVectorTest/4.AssignTest
2022-05-18T03:46:48.0595188Z [       OK ] SmallVectorTest/4.AssignTest (0 ms)
2022-05-18T03:46:48.0595708Z [ RUN      ] SmallVectorTest/4.AssignRangeTest
2022-05-18T03:46:48.0596237Z [       OK ] SmallVectorTest/4.AssignRangeTest (0 ms)
2022-05-18T03:46:48.0596746Z [ RUN      ] SmallVectorTest/4.AssignNonIterTest
2022-05-18T03:46:48.0597234Z [       OK ] SmallVectorTest/4.AssignNonIterTest (0 ms)
2022-05-18T03:46:48.0597766Z [ RUN      ] SmallVectorTest/4.AssignSmallVector
2022-05-18T03:46:48.0598296Z [       OK ] SmallVectorTest/4.AssignSmallVector (0 ms)
2022-05-18T03:46:48.0598793Z [ RUN      ] SmallVectorTest/4.MoveAssignTest
2022-05-18T03:46:48.0599273Z [       OK ] SmallVectorTest/4.MoveAssignTest (0 ms)
2022-05-18T03:46:48.0599706Z [ RUN      ] SmallVectorTest/4.EraseTest
2022-05-18T03:46:48.0600205Z [       OK ] SmallVectorTest/4.EraseTest (0 ms)
2022-05-18T03:46:48.0600664Z [ RUN      ] SmallVectorTest/4.EraseRangeTest
2022-05-18T03:46:48.0601168Z [       OK ] SmallVectorTest/4.EraseRangeTest (0 ms)
2022-05-18T03:46:48.0601642Z [ RUN      ] SmallVectorTest/4.InsertTest
2022-05-18T03:46:48.0602179Z [       OK ] SmallVectorTest/4.InsertTest (0 ms)
2022-05-18T03:46:48.0602671Z [ RUN      ] SmallVectorTest/4.InsertCopy
2022-05-18T03:46:48.0603430Z [       OK ] SmallVectorTest/4.InsertCopy (0 ms)
2022-05-18T03:46:48.0603938Z [ RUN      ] SmallVectorTest/4.InsertRepeatedTest
2022-05-18T03:46:48.0604507Z [       OK ] SmallVectorTest/4.InsertRepeatedTest (0 ms)
2022-05-18T03:46:48.0605076Z [ RUN      ] SmallVectorTest/4.InsertRepeatedNonIterTest
2022-05-18T03:46:48.0605690Z [       OK ] SmallVectorTest/4.InsertRepeatedNonIterTest (0 ms)
2022-05-18T03:46:48.0606244Z [ RUN      ] SmallVectorTest/4.InsertRepeatedAtEndTest
2022-05-18T03:46:48.0606804Z [       OK ] SmallVectorTest/4.InsertRepeatedAtEndTest (0 ms)
2022-05-18T03:46:48.0607357Z [ RUN      ] SmallVectorTest/4.InsertRepeatedEmptyTest
2022-05-18T03:46:48.0607926Z [       OK ] SmallVectorTest/4.InsertRepeatedEmptyTest (0 ms)
2022-05-18T03:46:48.0608458Z [ RUN      ] SmallVectorTest/4.InsertRangeTest
2022-05-18T03:46:48.0608986Z [       OK ] SmallVectorTest/4.InsertRangeTest (0 ms)
2022-05-18T03:46:48.0609525Z [ RUN      ] SmallVectorTest/4.InsertRangeAtEndTest
2022-05-18T03:46:48.0610104Z [       OK ] SmallVectorTest/4.InsertRangeAtEndTest (0 ms)
2022-05-18T03:46:48.0610670Z [ RUN      ] SmallVectorTest/4.InsertEmptyRangeTest
2022-05-18T03:46:48.0611234Z [       OK ] SmallVectorTest/4.InsertEmptyRangeTest (0 ms)
2022-05-18T03:46:48.0611741Z [ RUN      ] SmallVectorTest/4.ComparisonTest
2022-05-18T03:46:48.0612286Z [       OK ] SmallVectorTest/4.ComparisonTest (0 ms)
2022-05-18T03:46:48.0612796Z [ RUN      ] SmallVectorTest/4.ConstVectorTest
2022-05-18T03:46:48.0613324Z [       OK ] SmallVectorTest/4.ConstVectorTest (0 ms)
2022-05-18T03:46:48.0613836Z [ RUN      ] SmallVectorTest/4.DirectVectorTest
2022-05-18T03:46:48.0614388Z [       OK ] SmallVectorTest/4.DirectVectorTest (0 ms)
2022-05-18T03:46:48.0614865Z [ RUN      ] SmallVectorTest/4.IteratorTest
2022-05-18T03:46:48.0615368Z [       OK ] SmallVectorTest/4.IteratorTest (0 ms)
2022-05-18T03:46:48.0615909Z [----------] 37 tests from SmallVectorTest/4 (0 ms total)
2022-05-18T03:46:48.0616184Z 
2022-05-18T03:46:48.0616453Z [----------] 5 tests from SmallVectorTest
2022-05-18T03:46:48.0616959Z [ RUN      ] SmallVectorTest.ResizeForOverwrite
2022-05-18T03:46:48.0617513Z [       OK ] SmallVectorTest.ResizeForOverwrite (0 ms)
2022-05-18T03:46:48.0618027Z [ RUN      ] SmallVectorTest.MidInsert
2022-05-18T03:46:48.0618501Z [       OK ] SmallVectorTest.MidInsert (0 ms)
2022-05-18T03:46:48.0619028Z [ RUN      ] SmallVectorTest.EmplaceBack
2022-05-18T03:46:48.0619667Z [       OK ] SmallVectorTest.EmplaceBack (0 ms)
2022-05-18T03:46:48.0620250Z [ RUN      ] SmallVectorTest.DefaultInlinedElements
2022-05-18T03:46:48.0620891Z [       OK ] SmallVectorTest.DefaultInlinedElements (0 ms)
2022-05-18T03:46:48.0621493Z [ RUN      ] SmallVectorTest.InitializerList
2022-05-18T03:46:48.0622083Z [       OK ] SmallVectorTest.InitializerList (0 ms)
2022-05-18T03:46:48.0622615Z [----------] 5 tests from SmallVectorTest (0 ms total)
2022-05-18T03:46:48.0622875Z 
2022-05-18T03:46:48.0623746Z [----------] 1 test from DualSmallVectorsTest/0, where TypeParam = std::pair<c10::SmallVector<(anonymous namespace)::Constructable, 4u>, c10::SmallVector<(anonymous namespace)::Constructable, 4u> >
2022-05-18T03:46:48.0624578Z [ RUN      ] DualSmallVectorsTest/0.MoveAssignment
2022-05-18T03:46:48.0625292Z [       OK ] DualSmallVectorsTest/0.MoveAssignment (0 ms)
2022-05-18T03:46:48.0625945Z [----------] 1 test from DualSmallVectorsTest/0 (0 ms total)
2022-05-18T03:46:48.0626249Z 
2022-05-18T03:46:48.0627181Z [----------] 1 test from DualSmallVectorsTest/1, where TypeParam = std::pair<c10::SmallVector<(anonymous namespace)::Constructable, 4u>, c10::SmallVector<(anonymous namespace)::Constructable, 2u> >
2022-05-18T03:46:48.0628021Z [ RUN      ] DualSmallVectorsTest/1.MoveAssignment
2022-05-18T03:46:48.0628526Z [       OK ] DualSmallVectorsTest/1.MoveAssignment (0 ms)
2022-05-18T03:46:48.0628903Z [----------] 1 test from DualSmallVectorsTest/1 (0 ms total)
2022-05-18T03:46:48.0629080Z 
2022-05-18T03:46:48.0629577Z [----------] 1 test from DualSmallVectorsTest/2, where TypeParam = std::pair<c10::SmallVector<(anonymous namespace)::Constructable, 2u>, c10::SmallVector<(anonymous namespace)::Constructable, 4u> >
2022-05-18T03:46:48.0630072Z [ RUN      ] DualSmallVectorsTest/2.MoveAssignment
2022-05-18T03:46:48.0630415Z [       OK ] DualSmallVectorsTest/2.MoveAssignment (0 ms)
2022-05-18T03:46:48.0630793Z [----------] 1 test from DualSmallVectorsTest/2 (0 ms total)
2022-05-18T03:46:48.0630971Z 
2022-05-18T03:46:48.0631457Z [----------] 1 test from DualSmallVectorsTest/3, where TypeParam = std::pair<c10::SmallVector<(anonymous namespace)::Constructable, 2u>, c10::SmallVector<(anonymous namespace)::Constructable, 2u> >
2022-05-18T03:46:48.0631947Z [ RUN      ] DualSmallVectorsTest/3.MoveAssignment
2022-05-18T03:46:48.0632290Z [       OK ] DualSmallVectorsTest/3.MoveAssignment (0 ms)
2022-05-18T03:46:48.0632657Z [----------] 1 test from DualSmallVectorsTest/3 (0 ms total)
2022-05-18T03:46:48.0632830Z 
2022-05-18T03:46:48.0633007Z [----------] 1 test from SmallVectorCustomTest
2022-05-18T03:46:48.0633350Z [ RUN      ] SmallVectorCustomTest.NoAssignTest
2022-05-18T03:46:48.0633707Z [       OK ] SmallVectorCustomTest.NoAssignTest (0 ms)
2022-05-18T03:46:48.0634089Z [----------] 1 test from SmallVectorCustomTest (0 ms total)
2022-05-18T03:46:48.0634268Z 
2022-05-18T03:46:48.0634636Z [----------] 12 tests from SmallVectorReferenceInvalidationTest/0, where TypeParam = c10::SmallVector<int, 3u>
2022-05-18T03:46:48.0635091Z [ RUN      ] SmallVectorReferenceInvalidationTest/0.PushBack
2022-05-18T03:46:48.0635515Z [       OK ] SmallVectorReferenceInvalidationTest/0.PushBack (0 ms)
2022-05-18T03:46:48.0635939Z [ RUN      ] SmallVectorReferenceInvalidationTest/0.PushBackMoved
2022-05-18T03:46:48.0636378Z [       OK ] SmallVectorReferenceInvalidationTest/0.PushBackMoved (0 ms)
2022-05-18T03:46:48.0636782Z [ RUN      ] SmallVectorReferenceInvalidationTest/0.Resize
2022-05-18T03:46:48.0637192Z [       OK ] SmallVectorReferenceInvalidationTest/0.Resize (0 ms)
2022-05-18T03:46:48.0637602Z [ RUN      ] SmallVectorReferenceInvalidationTest/0.Append
2022-05-18T03:46:48.0638003Z [       OK ] SmallVectorReferenceInvalidationTest/0.Append (0 ms)
2022-05-18T03:46:48.0638474Z [ RUN      ] SmallVectorReferenceInvalidationTest/0.AppendRange
2022-05-18T03:46:48.0638903Z [       OK ] SmallVectorReferenceInvalidationTest/0.AppendRange (0 ms)
2022-05-18T03:46:48.0639317Z [ RUN      ] SmallVectorReferenceInvalidationTest/0.Assign
2022-05-18T03:46:48.0639712Z [       OK ] SmallVectorReferenceInvalidationTest/0.Assign (0 ms)
2022-05-18T03:46:48.0640126Z [ RUN      ] SmallVectorReferenceInvalidationTest/0.AssignRange
2022-05-18T03:46:48.0640553Z [       OK ] SmallVectorReferenceInvalidationTest/0.AssignRange (0 ms)
2022-05-18T03:46:48.0640953Z [ RUN      ] SmallVectorReferenceInvalidationTest/0.Insert
2022-05-18T03:46:48.0641367Z [       OK ] SmallVectorReferenceInvalidationTest/0.Insert (0 ms)
2022-05-18T03:46:48.0641784Z [ RUN      ] SmallVectorReferenceInvalidationTest/0.InsertMoved
2022-05-18T03:46:48.0642199Z [       OK ] SmallVectorReferenceInvalidationTest/0.InsertMoved (0 ms)
2022-05-18T03:46:48.0642622Z [ RUN      ] SmallVectorReferenceInvalidationTest/0.InsertN
2022-05-18T03:46:48.0645248Z [       OK ] SmallVectorReferenceInvalidationTest/0.InsertN (0 ms)
2022-05-18T03:46:48.0645773Z [ RUN      ] SmallVectorReferenceInvalidationTest/0.InsertRange
2022-05-18T03:46:48.0646192Z [       OK ] SmallVectorReferenceInvalidationTest/0.InsertRange (0 ms)
2022-05-18T03:46:48.0646678Z [ RUN      ] SmallVectorReferenceInvalidationTest/0.EmplaceBack
2022-05-18T03:46:48.0647436Z [       OK ] SmallVectorReferenceInvalidationTest/0.EmplaceBack (0 ms)
2022-05-18T03:46:48.0648067Z [----------] 12 tests from SmallVectorReferenceInvalidationTest/0 (0 ms total)
2022-05-18T03:46:48.0648284Z 
2022-05-18T03:46:48.0648826Z [----------] 12 tests from SmallVectorReferenceInvalidationTest/1, where TypeParam = c10::SmallVector<(anonymous namespace)::Constructable, 3u>
2022-05-18T03:46:48.0649520Z [ RUN      ] SmallVectorReferenceInvalidationTest/1.PushBack
2022-05-18T03:46:48.0650220Z [       OK ] SmallVectorReferenceInvalidationTest/1.PushBack (0 ms)
2022-05-18T03:46:48.0650865Z [ RUN      ] SmallVectorReferenceInvalidationTest/1.PushBackMoved
2022-05-18T03:46:48.0651536Z [       OK ] SmallVectorReferenceInvalidationTest/1.PushBackMoved (0 ms)
2022-05-18T03:46:48.0651957Z [ RUN      ] SmallVectorReferenceInvalidationTest/1.Resize
2022-05-18T03:46:48.0652371Z [       OK ] SmallVectorReferenceInvalidationTest/1.Resize (0 ms)
2022-05-18T03:46:48.0652769Z [ RUN      ] SmallVectorReferenceInvalidationTest/1.Append
2022-05-18T03:46:48.0653183Z [       OK ] SmallVectorReferenceInvalidationTest/1.Append (0 ms)
2022-05-18T03:46:48.0653653Z [ RUN      ] SmallVectorReferenceInvalidationTest/1.AppendRange
2022-05-18T03:46:48.0654133Z [       OK ] SmallVectorReferenceInvalidationTest/1.AppendRange (0 ms)
2022-05-18T03:46:48.0654571Z [ RUN      ] SmallVectorReferenceInvalidationTest/1.Assign
2022-05-18T03:46:48.0654985Z [       OK ] SmallVectorReferenceInvalidationTest/1.Assign (0 ms)
2022-05-18T03:46:48.0655388Z [ RUN      ] SmallVectorReferenceInvalidationTest/1.AssignRange
2022-05-18T03:46:48.0655816Z [       OK ] SmallVectorReferenceInvalidationTest/1.AssignRange (0 ms)
2022-05-18T03:46:48.0656231Z [ RUN      ] SmallVectorReferenceInvalidationTest/1.Insert
2022-05-18T03:46:48.0656645Z [       OK ] SmallVectorReferenceInvalidationTest/1.Insert (0 ms)
2022-05-18T03:46:48.0657046Z [ RUN      ] SmallVectorReferenceInvalidationTest/1.InsertMoved
2022-05-18T03:46:48.0657481Z [       OK ] SmallVectorReferenceInvalidationTest/1.InsertMoved (0 ms)
2022-05-18T03:46:48.0658031Z [ RUN      ] SmallVectorReferenceInvalidationTest/1.InsertN
2022-05-18T03:46:48.0658716Z [       OK ] SmallVectorReferenceInvalidationTest/1.InsertN (0 ms)
2022-05-18T03:46:48.0659500Z [ RUN      ] SmallVectorReferenceInvalidationTest/1.InsertRange
2022-05-18T03:46:48.0660237Z [       OK ] SmallVectorReferenceInvalidationTest/1.InsertRange (0 ms)
2022-05-18T03:46:48.0660773Z [ RUN      ] SmallVectorReferenceInvalidationTest/1.EmplaceBack
2022-05-18T03:46:48.0661190Z [       OK ] SmallVectorReferenceInvalidationTest/1.EmplaceBack (0 ms)
2022-05-18T03:46:48.0661649Z [----------] 12 tests from SmallVectorReferenceInvalidationTest/1 (0 ms total)
2022-05-18T03:46:48.0661868Z 
2022-05-18T03:46:48.0662315Z [----------] 1 test from SmallVectorInternalReferenceInvalidationTest/0, where TypeParam = c10::SmallVector<std::pair<int, int>, 3u>
2022-05-18T03:46:48.0662856Z [ RUN      ] SmallVectorInternalReferenceInvalidationTest/0.EmplaceBack
2022-05-18T03:46:48.0663328Z [       OK ] SmallVectorInternalReferenceInvalidationTest/0.EmplaceBack (0 ms)
2022-05-18T03:46:48.0663838Z [----------] 1 test from SmallVectorInternalReferenceInvalidationTest/0 (0 ms total)
2022-05-18T03:46:48.0664076Z 
2022-05-18T03:46:48.0664663Z [----------] 1 test from SmallVectorInternalReferenceInvalidationTest/1, where TypeParam = c10::SmallVector<std::pair<(anonymous namespace)::Constructable, (anonymous namespace)::Constructable>, 3u>
2022-05-18T03:46:48.0665352Z [ RUN      ] SmallVectorInternalReferenceInvalidationTest/1.EmplaceBack
2022-05-18T03:46:48.0665828Z [       OK ] SmallVectorInternalReferenceInvalidationTest/1.EmplaceBack (0 ms)
2022-05-18T03:46:48.0666331Z [----------] 1 test from SmallVectorInternalReferenceInvalidationTest/1 (0 ms total)
2022-05-18T03:46:48.0666565Z 
2022-05-18T03:46:48.0666742Z [----------] Global test environment tear-down
2022-05-18T03:46:48.0667119Z [==========] 221 tests from 15 test suites ran. (3 ms total)
2022-05-18T03:46:48.0667382Z [  PASSED  ] 221 tests.
2022-05-18T03:46:48.0667692Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:48.0667928Z + case "$test" in
2022-05-18T03:46:48.0668164Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_StreamGuard_test
2022-05-18T03:46:48.0668356Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:48.0668734Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_StreamGuard_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_StreamGuard_test.xml
2022-05-18T03:46:48.0668913Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:48.0669081Z [==========] Running 0 tests from 0 test suites.
2022-05-18T03:46:48.0669259Z [==========] 0 tests from 0 test suites ran. (0 ms total)
2022-05-18T03:46:48.0669381Z [  PASSED  ] 0 tests.
2022-05-18T03:46:48.0669561Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:48.0669635Z + case "$test" in
2022-05-18T03:46:48.0669859Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_Synchronized_test
2022-05-18T03:46:48.0670065Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:48.0670443Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_Synchronized_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_Synchronized_test.xml
2022-05-18T03:46:48.0670621Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:48.0670786Z [==========] Running 2 tests from 1 test suite.
2022-05-18T03:46:48.0670958Z [----------] Global test environment set-up.
2022-05-18T03:46:48.0671115Z [----------] 2 tests from Synchronized
2022-05-18T03:46:48.0671319Z [ RUN      ] Synchronized.TestSingleThreadExecution
2022-05-18T03:46:48.0671527Z [       OK ] Synchronized.TestSingleThreadExecution (0 ms)
2022-05-18T03:46:48.0671735Z [ RUN      ] Synchronized.TestMultiThreadedExecution
2022-05-18T03:46:48.0672002Z [       OK ] Synchronized.TestMultiThreadedExecution (9 ms)
2022-05-18T03:46:48.0672190Z [----------] 2 tests from Synchronized (9 ms total)
2022-05-18T03:46:48.0672196Z 
2022-05-18T03:46:48.0672370Z [----------] Global test environment tear-down
2022-05-18T03:46:48.0672545Z [==========] 2 tests from 1 test suite ran. (9 ms total)
2022-05-18T03:46:48.0672666Z [  PASSED  ] 2 tests.
2022-05-18T03:46:48.0672846Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:48.0672908Z + case "$test" in
2022-05-18T03:46:48.0673139Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_ThreadLocal_test
2022-05-18T03:46:48.0673342Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:48.0673717Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_ThreadLocal_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_ThreadLocal_test.xml
2022-05-18T03:46:48.0676371Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:48.0676863Z [==========] Running 12 tests from 2 test suites.
2022-05-18T03:46:48.0677160Z [----------] Global test environment set-up.
2022-05-18T03:46:48.0677387Z [----------] 1 test from ThreadLocal
2022-05-18T03:46:48.0677743Z [ RUN      ] ThreadLocal.TestNoOpScopeWithOneVar
2022-05-18T03:46:48.0678116Z [       OK ] ThreadLocal.TestNoOpScopeWithOneVar (0 ms)
2022-05-18T03:46:48.0678420Z [----------] 1 test from ThreadLocal (0 ms total)
2022-05-18T03:46:48.0678432Z 
2022-05-18T03:46:48.0678729Z [----------] 11 tests from ThreadLocalTest
2022-05-18T03:46:48.0679103Z [ RUN      ] ThreadLocalTest.TestNoOpScopeWithTwoVars
2022-05-18T03:46:48.0679526Z [       OK ] ThreadLocalTest.TestNoOpScopeWithTwoVars (0 ms)
2022-05-18T03:46:48.0679853Z [ RUN      ] ThreadLocalTest.TestScopeWithOneVar
2022-05-18T03:46:48.0680239Z [       OK ] ThreadLocalTest.TestScopeWithOneVar (0 ms)
2022-05-18T03:46:48.0680595Z [ RUN      ] ThreadLocalTest.TestScopeWithTwoVars
2022-05-18T03:46:48.0680968Z [       OK ] ThreadLocalTest.TestScopeWithTwoVars (0 ms)
2022-05-18T03:46:48.0681236Z [ RUN      ] ThreadLocalTest.TestInnerScopeWithTwoVars
2022-05-18T03:46:48.0681469Z [       OK ] ThreadLocalTest.TestInnerScopeWithTwoVars (0 ms)
2022-05-18T03:46:48.0681650Z [ RUN      ] ThreadLocalTest.TestClassScope
2022-05-18T03:46:48.0681846Z [       OK ] ThreadLocalTest.TestClassScope (0 ms)
2022-05-18T03:46:48.0682051Z [ RUN      ] ThreadLocalTest.TestTwoGlobalScopeVars
2022-05-18T03:46:48.0682276Z [       OK ] ThreadLocalTest.TestTwoGlobalScopeVars (0 ms)
2022-05-18T03:46:48.0682491Z [ RUN      ] ThreadLocalTest.TestGlobalWithLocalScopeVars
2022-05-18T03:46:48.0682737Z [       OK ] ThreadLocalTest.TestGlobalWithLocalScopeVars (0 ms)
2022-05-18T03:46:48.0683153Z [ RUN      ] ThreadLocalTest.TestThreadWithLocalScopeVar
2022-05-18T03:46:48.0683419Z [       OK ] ThreadLocalTest.TestThreadWithLocalScopeVar (0 ms)
2022-05-18T03:46:48.0683764Z [ RUN      ] ThreadLocalTest.TestThreadWithGlobalScopeVar
2022-05-18T03:46:48.0684067Z [       OK ] ThreadLocalTest.TestThreadWithGlobalScopeVar (0 ms)
2022-05-18T03:46:48.0684278Z [ RUN      ] ThreadLocalTest.TestObjectsAreReleased
2022-05-18T03:46:48.0684529Z [       OK ] ThreadLocalTest.TestObjectsAreReleased (0 ms)
2022-05-18T03:46:48.0684863Z [ RUN      ] ThreadLocalTest.TestObjectsAreReleasedByNonstaticThreadLocal
2022-05-18T03:46:48.0685159Z [       OK ] ThreadLocalTest.TestObjectsAreReleasedByNonstaticThreadLocal (0 ms)
2022-05-18T03:46:48.0685358Z [----------] 11 tests from ThreadLocalTest (0 ms total)
2022-05-18T03:46:48.0685365Z 
2022-05-18T03:46:48.0685697Z [----------] Global test environment tear-down
2022-05-18T03:46:48.0685904Z [==========] 12 tests from 2 test suites ran. (0 ms total)
2022-05-18T03:46:48.0686072Z [  PASSED  ] 12 tests.
2022-05-18T03:46:48.0686525Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:48.0686604Z + case "$test" in
2022-05-18T03:46:48.0689699Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_TypeIndex_test
2022-05-18T03:46:48.0694622Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:48.0695057Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_TypeIndex_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_TypeIndex_test.xml
2022-05-18T03:46:48.0710237Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:48.0710524Z [==========] Running 7 tests from 1 test suite.
2022-05-18T03:46:48.0710829Z [----------] Global test environment set-up.
2022-05-18T03:46:48.0711050Z [----------] 7 tests from TypeIndex
2022-05-18T03:46:48.0711314Z [ RUN      ] TypeIndex.TopLevelName
2022-05-18T03:46:48.0711496Z [       OK ] TypeIndex.TopLevelName (0 ms)
2022-05-18T03:46:48.0711650Z [ RUN      ] TypeIndex.NestedName
2022-05-18T03:46:48.0711800Z [       OK ] TypeIndex.NestedName (0 ms)
2022-05-18T03:46:48.0711984Z [ RUN      ] TypeIndex.TypeTemplateParameter
2022-05-18T03:46:48.0712181Z [       OK ] TypeIndex.TypeTemplateParameter (0 ms)
2022-05-18T03:46:48.0712377Z [ RUN      ] TypeIndex.NonTypeTemplateParameter
2022-05-18T03:46:48.0712665Z [       OK ] TypeIndex.NonTypeTemplateParameter (0 ms)
2022-05-18T03:46:48.0712871Z [ RUN      ] TypeIndex.TypeComputationsAreResolved
2022-05-18T03:46:48.0713159Z [       OK ] TypeIndex.TypeComputationsAreResolved (0 ms)
2022-05-18T03:46:48.0713435Z [ RUN      ] TypeIndex.FunctionTypeComputationsAreResolved
2022-05-18T03:46:48.0713674Z [       OK ] TypeIndex.FunctionTypeComputationsAreResolved (0 ms)
2022-05-18T03:46:48.0713904Z [ RUN      ] TypeIndex.FunctionArgumentsAndReturns
2022-05-18T03:46:48.0714151Z [       OK ] TypeIndex.FunctionArgumentsAndReturns (0 ms)
2022-05-18T03:46:48.0714335Z [----------] 7 tests from TypeIndex (0 ms total)
2022-05-18T03:46:48.0714344Z 
2022-05-18T03:46:48.0714575Z [----------] Global test environment tear-down
2022-05-18T03:46:48.0714833Z [==========] 7 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:46:48.0714999Z [  PASSED  ] 7 tests.
2022-05-18T03:46:48.0715537Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:48.0715618Z + case "$test" in
2022-05-18T03:46:48.0718841Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_TypeList_test
2022-05-18T03:46:48.0724604Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:48.0725008Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_TypeList_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_TypeList_test.xml
2022-05-18T03:46:48.0740294Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:48.0740997Z [==========] Running 4 tests from 1 test suite.
2022-05-18T03:46:48.0741558Z [----------] Global test environment set-up.
2022-05-18T03:46:48.0742114Z [----------] 4 tests from TypeListTest
2022-05-18T03:46:48.0742507Z [ RUN      ] TypeListTest.MapTypesToValues_sametype
2022-05-18T03:46:48.0742875Z [       OK ] TypeListTest.MapTypesToValues_sametype (0 ms)
2022-05-18T03:46:48.0743265Z [ RUN      ] TypeListTest.MapTypesToValues_differenttypes
2022-05-18T03:46:48.0743688Z [       OK ] TypeListTest.MapTypesToValues_differenttypes (0 ms)
2022-05-18T03:46:48.0744099Z [ RUN      ] TypeListTest.MapTypesToValues_members
2022-05-18T03:46:48.0744803Z [       OK ] TypeListTest.MapTypesToValues_members (0 ms)
2022-05-18T03:46:48.0745440Z [ RUN      ] TypeListTest.MapTypesToValues_empty
2022-05-18T03:46:48.0745986Z [       OK ] TypeListTest.MapTypesToValues_empty (0 ms)
2022-05-18T03:46:48.0746826Z [----------] 4 tests from TypeListTest (0 ms total)
2022-05-18T03:46:48.0747183Z 
2022-05-18T03:46:48.0747474Z [----------] Global test environment tear-down
2022-05-18T03:46:48.0748063Z [==========] 4 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:46:48.0748527Z [  PASSED  ] 4 tests.
2022-05-18T03:46:48.0749064Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:48.0749453Z + case "$test" in
2022-05-18T03:46:48.0750061Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_TypeTraits_test
2022-05-18T03:46:48.0752819Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:48.0753474Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_TypeTraits_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_TypeTraits_test.xml
2022-05-18T03:46:48.0767531Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:48.0768062Z [==========] Running 0 tests from 0 test suites.
2022-05-18T03:46:48.0768556Z [==========] 0 tests from 0 test suites ran. (0 ms total)
2022-05-18T03:46:48.0768915Z [  PASSED  ] 0 tests.
2022-05-18T03:46:48.0770819Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:48.0771047Z + case "$test" in
2022-05-18T03:46:48.0773549Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_accumulate_test
2022-05-18T03:46:48.0777972Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:48.0778536Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_accumulate_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_accumulate_test.xml
2022-05-18T03:46:48.0792845Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:48.0793467Z [==========] Running 4 tests from 1 test suite.
2022-05-18T03:46:48.0793795Z [----------] Global test environment set-up.
2022-05-18T03:46:48.0794096Z [----------] 4 tests from accumulate_test
2022-05-18T03:46:48.0794399Z [ RUN      ] accumulate_test.vector_test
2022-05-18T03:46:48.0794710Z [       OK ] accumulate_test.vector_test (0 ms)
2022-05-18T03:46:48.0795011Z [ RUN      ] accumulate_test.list_test
2022-05-18T03:46:48.0795300Z [       OK ] accumulate_test.list_test (0 ms)
2022-05-18T03:46:48.0795593Z [ RUN      ] accumulate_test.base_cases
2022-05-18T03:46:48.0795894Z [       OK ] accumulate_test.base_cases (0 ms)
2022-05-18T03:46:48.0796180Z [ RUN      ] accumulate_test.errors
2022-05-18T03:46:48.0802545Z [       OK ] accumulate_test.errors (0 ms)
2022-05-18T03:46:48.0803195Z [----------] 4 tests from accumulate_test (0 ms total)
2022-05-18T03:46:48.0803370Z 
2022-05-18T03:46:48.0803552Z [----------] Global test environment tear-down
2022-05-18T03:46:48.0804974Z [==========] 4 tests from 1 test suite ran. (1 ms total)
2022-05-18T03:46:48.0805391Z [  PASSED  ] 4 tests.
2022-05-18T03:46:48.0806951Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:48.0807325Z + case "$test" in
2022-05-18T03:46:48.0810527Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_bfloat16_test
2022-05-18T03:46:48.0815483Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:48.0816412Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_bfloat16_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_bfloat16_test.xml
2022-05-18T03:46:48.0831463Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:48.0833711Z [==========] Running 13 tests from 3 test suites.
2022-05-18T03:46:48.0834266Z [----------] Global test environment set-up.
2022-05-18T03:46:48.0834821Z [----------] 5 tests from BFloat16Conversion
2022-05-18T03:46:48.0835172Z [ RUN      ] BFloat16Conversion.FloatToBFloat16AndBack
2022-05-18T03:46:48.0835583Z [       OK ] BFloat16Conversion.FloatToBFloat16AndBack (0 ms)
2022-05-18T03:46:48.0835995Z [ RUN      ] BFloat16Conversion.FloatToBFloat16RNEAndBack
2022-05-18T03:46:48.0836418Z [       OK ] BFloat16Conversion.FloatToBFloat16RNEAndBack (0 ms)
2022-05-18T03:46:48.0836761Z [ RUN      ] BFloat16Conversion.NaN
2022-05-18T03:46:48.0837070Z [       OK ] BFloat16Conversion.NaN (0 ms)
2022-05-18T03:46:48.0837388Z [ RUN      ] BFloat16Conversion.Inf
2022-05-18T03:46:48.0837720Z [       OK ] BFloat16Conversion.Inf (0 ms)
2022-05-18T03:46:48.0838234Z [ RUN      ] BFloat16Conversion.SmallestDenormal
2022-05-18T03:46:48.0838694Z [       OK ] BFloat16Conversion.SmallestDenormal (0 ms)
2022-05-18T03:46:48.0839126Z [----------] 5 tests from BFloat16Conversion (0 ms total)
2022-05-18T03:46:48.0839344Z 
2022-05-18T03:46:48.0839504Z [----------] 3 tests from BFloat16Math
2022-05-18T03:46:48.0839843Z [ RUN      ] BFloat16Math.Addition
2022-05-18T03:46:48.0840211Z [       OK ] BFloat16Math.Addition (0 ms)
2022-05-18T03:46:48.0840502Z [ RUN      ] BFloat16Math.Subtraction
2022-05-18T03:46:48.0840819Z [       OK ] BFloat16Math.Subtraction (0 ms)
2022-05-18T03:46:48.0841126Z [ RUN      ] BFloat16Math.NextAfterZero
2022-05-18T03:46:48.0841435Z [       OK ] BFloat16Math.NextAfterZero (0 ms)
2022-05-18T03:46:48.0841775Z [----------] 3 tests from BFloat16Math (0 ms total)
2022-05-18T03:46:48.0841934Z 
2022-05-18T03:46:48.0842195Z [----------] 5 tests from BFloat16Test_Instantiation/BFloat16Test
2022-05-18T03:46:48.0842750Z [ RUN      ] BFloat16Test_Instantiation/BFloat16Test.BFloat16RNETest/0
2022-05-18T03:46:48.0843370Z [       OK ] BFloat16Test_Instantiation/BFloat16Test.BFloat16RNETest/0 (0 ms)
2022-05-18T03:46:48.0843786Z [ RUN      ] BFloat16Test_Instantiation/BFloat16Test.BFloat16RNETest/1
2022-05-18T03:46:48.0844205Z [       OK ] BFloat16Test_Instantiation/BFloat16Test.BFloat16RNETest/1 (0 ms)
2022-05-18T03:46:48.0844602Z [ RUN      ] BFloat16Test_Instantiation/BFloat16Test.BFloat16RNETest/2
2022-05-18T03:46:48.0845020Z [       OK ] BFloat16Test_Instantiation/BFloat16Test.BFloat16RNETest/2 (0 ms)
2022-05-18T03:46:48.0845431Z [ RUN      ] BFloat16Test_Instantiation/BFloat16Test.BFloat16RNETest/3
2022-05-18T03:46:48.0845831Z [       OK ] BFloat16Test_Instantiation/BFloat16Test.BFloat16RNETest/3 (0 ms)
2022-05-18T03:46:48.0846242Z [ RUN      ] BFloat16Test_Instantiation/BFloat16Test.BFloat16RNETest/4
2022-05-18T03:46:48.0846660Z [       OK ] BFloat16Test_Instantiation/BFloat16Test.BFloat16RNETest/4 (0 ms)
2022-05-18T03:46:48.0847137Z [----------] 5 tests from BFloat16Test_Instantiation/BFloat16Test (0 ms total)
2022-05-18T03:46:48.0847373Z 
2022-05-18T03:46:48.0847580Z [----------] Global test environment tear-down
2022-05-18T03:46:48.0847930Z [==========] 13 tests from 3 test suites ran. (0 ms total)
2022-05-18T03:46:48.0848202Z [  PASSED  ] 13 tests.
2022-05-18T03:46:48.0848493Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:48.0848725Z + case "$test" in
2022-05-18T03:46:48.0849241Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_complex_math_test
2022-05-18T03:46:48.0849858Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:48.0850773Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_complex_math_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_complex_math_test.xml
2022-05-18T03:46:48.0863963Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:48.0864618Z [==========] Running 12 tests from 11 test suites.
2022-05-18T03:46:48.0865226Z [----------] Global test environment set-up.
2022-05-18T03:46:48.0865740Z [----------] 2 tests from TestExponential
2022-05-18T03:46:48.0866148Z [ RUN      ] TestExponential.IPi
2022-05-18T03:46:48.0866612Z [       OK ] TestExponential.IPi (0 ms)
2022-05-18T03:46:48.0866990Z [ RUN      ] TestExponential.EulerFormula
2022-05-18T03:46:48.0867332Z [       OK ] TestExponential.EulerFormula (0 ms)
2022-05-18T03:46:48.0867689Z [----------] 2 tests from TestExponential (0 ms total)
2022-05-18T03:46:48.0867856Z 
2022-05-18T03:46:48.0867988Z [----------] 1 test from TestLog
2022-05-18T03:46:48.0868267Z [ RUN      ] TestLog.Definition
2022-05-18T03:46:48.0868567Z [       OK ] TestLog.Definition (0 ms)
2022-05-18T03:46:48.0869052Z [----------] 1 test from TestLog (0 ms total)
2022-05-18T03:46:48.0869197Z 
2022-05-18T03:46:48.0869350Z [----------] 1 test from TestLog10
2022-05-18T03:46:48.0869641Z [ RUN      ] TestLog10.Rev
2022-05-18T03:46:48.0869912Z [       OK ] TestLog10.Rev (0 ms)
2022-05-18T03:46:48.0870217Z [----------] 1 test from TestLog10 (0 ms total)
2022-05-18T03:46:48.0870354Z 
2022-05-18T03:46:48.0870501Z [----------] 1 test from TestLog2
2022-05-18T03:46:48.0870761Z [ RUN      ] TestLog2.Rev
2022-05-18T03:46:48.0871027Z [       OK ] TestLog2.Rev (0 ms)
2022-05-18T03:46:48.0871314Z [----------] 1 test from TestLog2 (0 ms total)
2022-05-18T03:46:48.0871489Z 
2022-05-18T03:46:48.0871694Z [----------] 1 test from TestPowSqrt
2022-05-18T03:46:48.0872022Z [ RUN      ] TestPowSqrt.Equal
2022-05-18T03:46:48.0872304Z [       OK ] TestPowSqrt.Equal (0 ms)
2022-05-18T03:46:48.0872627Z [----------] 1 test from TestPowSqrt (0 ms total)
2022-05-18T03:46:48.0872821Z 
2022-05-18T03:46:48.0872969Z [----------] 1 test from TestPow
2022-05-18T03:46:48.0873371Z [ RUN      ] TestPow.Square
2022-05-18T03:46:48.0873813Z [       OK ] TestPow.Square (0 ms)
2022-05-18T03:46:48.0874309Z [----------] 1 test from TestPow (0 ms total)
2022-05-18T03:46:48.0874530Z 
2022-05-18T03:46:48.0874802Z [----------] 1 test from TestSinCosSinhCosh
2022-05-18T03:46:48.0875293Z [ RUN      ] TestSinCosSinhCosh.Identity
2022-05-18T03:46:48.0875633Z [       OK ] TestSinCosSinhCosh.Identity (0 ms)
2022-05-18T03:46:48.0875989Z [----------] 1 test from TestSinCosSinhCosh (0 ms total)
2022-05-18T03:46:48.0876160Z 
2022-05-18T03:46:48.0876287Z [----------] 1 test from TestTan
2022-05-18T03:46:48.0876553Z [ RUN      ] TestTan.Identity
2022-05-18T03:46:48.0876834Z [       OK ] TestTan.Identity (0 ms)
2022-05-18T03:46:48.0877139Z [----------] 1 test from TestTan (0 ms total)
2022-05-18T03:46:48.0877273Z 
2022-05-18T03:46:48.0877420Z [----------] 1 test from TestTanh
2022-05-18T03:46:48.0877802Z [ RUN      ] TestTanh.Identity
2022-05-18T03:46:48.0878244Z [       OK ] TestTanh.Identity (0 ms)
2022-05-18T03:46:48.0878725Z [----------] 1 test from TestTanh (0 ms total)
2022-05-18T03:46:48.0878966Z 
2022-05-18T03:46:48.0879279Z [----------] 1 test from TestRevTrigonometric
2022-05-18T03:46:48.0879837Z [ RUN      ] TestRevTrigonometric.Rev
2022-05-18T03:46:48.0880395Z [       OK ] TestRevTrigonometric.Rev (0 ms)
2022-05-18T03:46:48.0881008Z [----------] 1 test from TestRevTrigonometric (0 ms total)
2022-05-18T03:46:48.0881323Z 
2022-05-18T03:46:48.0881616Z [----------] 1 test from TestRevHyperbolic
2022-05-18T03:46:48.0882245Z [ RUN      ] TestRevHyperbolic.Rev
2022-05-18T03:46:48.0882578Z [       OK ] TestRevHyperbolic.Rev (0 ms)
2022-05-18T03:46:48.0883137Z [----------] 1 test from TestRevHyperbolic (0 ms total)
2022-05-18T03:46:48.0883310Z 
2022-05-18T03:46:48.0883490Z [----------] Global test environment tear-down
2022-05-18T03:46:48.0883868Z [==========] 12 tests from 11 test suites ran. (0 ms total)
2022-05-18T03:46:48.0884267Z [  PASSED  ] 12 tests.
2022-05-18T03:46:48.0884577Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:48.0884804Z + case "$test" in
2022-05-18T03:46:48.0885125Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_complex_test
2022-05-18T03:46:48.0885520Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:48.0886050Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_complex_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_complex_test.xml
2022-05-18T03:46:48.0899320Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:48.0900027Z [==========] Running 5 tests from 5 test suites.
2022-05-18T03:46:48.0900585Z [----------] Global test environment set-up.
2022-05-18T03:46:48.0901125Z [----------] 1 test from TestMemory
2022-05-18T03:46:48.0901522Z [ RUN      ] TestMemory.ReinterpretCast
2022-05-18T03:46:48.0901858Z [       OK ] TestMemory.ReinterpretCast (0 ms)
2022-05-18T03:46:48.0902196Z [----------] 1 test from TestMemory (0 ms total)
2022-05-18T03:46:48.0902352Z 
2022-05-18T03:46:48.0902502Z [----------] 1 test from TestConstructors
2022-05-18T03:46:48.0902841Z [ RUN      ] TestConstructors.UnorderedMap
2022-05-18T03:46:48.0903230Z [       OK ] TestConstructors.UnorderedMap (0 ms)
2022-05-18T03:46:48.0903627Z [----------] 1 test from TestConstructors (0 ms total)
2022-05-18T03:46:48.0903797Z 
2022-05-18T03:46:48.0903969Z [----------] 1 test from TestArithmeticIntScalar
2022-05-18T03:46:48.0904298Z [ RUN      ] TestArithmeticIntScalar.All
2022-05-18T03:46:48.0904745Z [       OK ] TestArithmeticIntScalar.All (0 ms)
2022-05-18T03:46:48.0905330Z [----------] 1 test from TestArithmeticIntScalar (0 ms total)
2022-05-18T03:46:48.0905560Z 
2022-05-18T03:46:48.0905705Z [----------] 1 test from TestIO
2022-05-18T03:46:48.0905956Z [ RUN      ] TestIO.All
2022-05-18T03:46:48.0906212Z [       OK ] TestIO.All (0 ms)
2022-05-18T03:46:48.0906491Z [----------] 1 test from TestIO (0 ms total)
2022-05-18T03:46:48.0906638Z 
2022-05-18T03:46:48.0906782Z [----------] 1 test from TestStd
2022-05-18T03:46:48.0907066Z [ RUN      ] TestStd.BasicFunctions
2022-05-18T03:46:48.0907361Z [       OK ] TestStd.BasicFunctions (0 ms)
2022-05-18T03:46:48.0907684Z [----------] 1 test from TestStd (0 ms total)
2022-05-18T03:46:48.0907861Z 
2022-05-18T03:46:48.0908083Z [----------] Global test environment tear-down
2022-05-18T03:46:48.0908432Z [==========] 5 tests from 5 test suites ran. (0 ms total)
2022-05-18T03:46:48.0908692Z [  PASSED  ] 5 tests.
2022-05-18T03:46:48.0909000Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:48.0909228Z + case "$test" in
2022-05-18T03:46:48.0909545Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_either_test
2022-05-18T03:46:48.0914028Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:48.0914565Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_either_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_either_test.xml
2022-05-18T03:46:48.0930872Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:48.0931807Z [==========] Running 83 tests from 2 test suites.
2022-05-18T03:46:48.0932527Z [----------] Global test environment set-up.
2022-05-18T03:46:48.0933052Z [----------] 73 tests from EitherTest
2022-05-18T03:46:48.0933533Z [ RUN      ] EitherTest.SpaceUsage
2022-05-18T03:46:48.0934036Z [       OK ] EitherTest.SpaceUsage (0 ms)
2022-05-18T03:46:48.0934554Z [ RUN      ] EitherTest.givenLeft
2022-05-18T03:46:48.0935046Z [       OK ] EitherTest.givenLeft (0 ms)
2022-05-18T03:46:48.0935507Z [ RUN      ] EitherTest.givenRight
2022-05-18T03:46:48.0936030Z [       OK ] EitherTest.givenRight (0 ms)
2022-05-18T03:46:48.0936568Z [ RUN      ] EitherTest.givenMakeLeft
2022-05-18T03:46:48.0937114Z [       OK ] EitherTest.givenMakeLeft (0 ms)
2022-05-18T03:46:48.0937765Z [ RUN      ] EitherTest.givenMakeLeftWithSameType
2022-05-18T03:46:48.0938436Z [       OK ] EitherTest.givenMakeLeftWithSameType (0 ms)
2022-05-18T03:46:48.0939056Z [ RUN      ] EitherTest.givenMakeRight
2022-05-18T03:46:48.0939611Z [       OK ] EitherTest.givenMakeRight (0 ms)
2022-05-18T03:46:48.0940351Z [ RUN      ] EitherTest.givenMakeRightWithSameType
2022-05-18T03:46:48.0941064Z [       OK ] EitherTest.givenMakeRightWithSameType (0 ms)
2022-05-18T03:46:48.0941729Z [ RUN      ] EitherTest.givenMovableOnlyMakeLeft
2022-05-18T03:46:48.0942404Z [       OK ] EitherTest.givenMovableOnlyMakeLeft (0 ms)
2022-05-18T03:46:48.0943073Z [ RUN      ] EitherTest.givenMovableOnlyMakeRight
2022-05-18T03:46:48.0943749Z [       OK ] EitherTest.givenMovableOnlyMakeRight (0 ms)
2022-05-18T03:46:48.0944415Z [ RUN      ] EitherTest.givenMultiParamMakeLeft
2022-05-18T03:46:48.0945088Z [       OK ] EitherTest.givenMultiParamMakeLeft (0 ms)
2022-05-18T03:46:48.0945823Z [ RUN      ] EitherTest.givenMultiParamMakeRight
2022-05-18T03:46:48.0946543Z [       OK ] EitherTest.givenMultiParamMakeRight (0 ms)
2022-05-18T03:46:48.0947348Z [ RUN      ] EitherTest.givenLeftCopyConstructedFromValue_thenNewIsCorrect
2022-05-18T03:46:48.0948244Z [       OK ] EitherTest.givenLeftCopyConstructedFromValue_thenNewIsCorrect (0 ms)
2022-05-18T03:46:48.0949075Z [ RUN      ] EitherTest.givenLeftCopyConstructedFromValue_thenOldIsCorrect
2022-05-18T03:46:48.0949989Z [       OK ] EitherTest.givenLeftCopyConstructedFromValue_thenOldIsCorrect (0 ms)
2022-05-18T03:46:48.0950911Z [ RUN      ] EitherTest.givenRightCopyConstructedFromValue_thenNewIsCorrect
2022-05-18T03:46:48.0951850Z [       OK ] EitherTest.givenRightCopyConstructedFromValue_thenNewIsCorrect (0 ms)
2022-05-18T03:46:48.0965288Z [ RUN      ] EitherTest.givenRightCopyConstructedFromValue_thenOldIsCorrect
2022-05-18T03:46:48.0966139Z [       OK ] EitherTest.givenRightCopyConstructedFromValue_thenOldIsCorrect (0 ms)
2022-05-18T03:46:48.0966966Z [ RUN      ] EitherTest.givenLeftMoveConstructedFromValue_thenNewIsCorrect
2022-05-18T03:46:48.0967835Z [       OK ] EitherTest.givenLeftMoveConstructedFromValue_thenNewIsCorrect (0 ms)
2022-05-18T03:46:48.0968327Z [ RUN      ] EitherTest.givenLeftMoveConstructedFromValue_thenOldIsCorrect
2022-05-18T03:46:48.0968801Z [       OK ] EitherTest.givenLeftMoveConstructedFromValue_thenOldIsCorrect (0 ms)
2022-05-18T03:46:48.0969293Z [ RUN      ] EitherTest.givenRightMoveConstructedFromValue_thenNewIsCorrect
2022-05-18T03:46:48.0969843Z [       OK ] EitherTest.givenRightMoveConstructedFromValue_thenNewIsCorrect (0 ms)
2022-05-18T03:46:48.0970481Z [ RUN      ] EitherTest.givenRightMoveConstructedFromValue_thenOldIsCorrect
2022-05-18T03:46:48.0970971Z [       OK ] EitherTest.givenRightMoveConstructedFromValue_thenOldIsCorrect (0 ms)
2022-05-18T03:46:48.0971453Z [ RUN      ] EitherTest.givenLeftCopyAssignedFromValue_thenNewIsCorrect
2022-05-18T03:46:48.0972047Z [       OK ] EitherTest.givenLeftCopyAssignedFromValue_thenNewIsCorrect (0 ms)
2022-05-18T03:46:48.0972506Z [ RUN      ] EitherTest.givenLeftCopyAssignedFromValue_thenOldIsCorrect
2022-05-18T03:46:48.0972980Z [       OK ] EitherTest.givenLeftCopyAssignedFromValue_thenOldIsCorrect (0 ms)
2022-05-18T03:46:48.0973453Z [ RUN      ] EitherTest.givenRightCopyAssignedFromValue_thenNewIsCorrect
2022-05-18T03:46:48.0973953Z [       OK ] EitherTest.givenRightCopyAssignedFromValue_thenNewIsCorrect (0 ms)
2022-05-18T03:46:48.0974610Z [ RUN      ] EitherTest.givenRightCopyAssignedFromValue_thenOldIsCorrect
2022-05-18T03:46:48.0975451Z [       OK ] EitherTest.givenRightCopyAssignedFromValue_thenOldIsCorrect (0 ms)
2022-05-18T03:46:48.0976220Z [ RUN      ] EitherTest.givenLeftMoveAssignedFromValue_thenNewIsCorrect
2022-05-18T03:46:48.0976934Z [       OK ] EitherTest.givenLeftMoveAssignedFromValue_thenNewIsCorrect (0 ms)
2022-05-18T03:46:48.0977411Z [ RUN      ] EitherTest.givenLeftMoveAssignedFromValue_thenOldIsCorrect
2022-05-18T03:46:48.0977959Z [       OK ] EitherTest.givenLeftMoveAssignedFromValue_thenOldIsCorrect (0 ms)
2022-05-18T03:46:48.0978437Z [ RUN      ] EitherTest.givenRightMoveAssignedFromValue_thenNewIsCorrect
2022-05-18T03:46:48.0978905Z [       OK ] EitherTest.givenRightMoveAssignedFromValue_thenNewIsCorrect (0 ms)
2022-05-18T03:46:48.0979376Z [ RUN      ] EitherTest.givenRightMoveAssignedFromValue_thenOldIsCorrect
2022-05-18T03:46:48.0979855Z [       OK ] EitherTest.givenRightMoveAssignedFromValue_thenOldIsCorrect (0 ms)
2022-05-18T03:46:48.0980295Z [ RUN      ] EitherTest.givenLeftCopyConstructed_thenNewIsCorrect
2022-05-18T03:46:48.0980730Z [       OK ] EitherTest.givenLeftCopyConstructed_thenNewIsCorrect (0 ms)
2022-05-18T03:46:48.0981161Z [ RUN      ] EitherTest.givenLeftCopyConstructed_thenOldIsCorrect
2022-05-18T03:46:48.0981601Z [       OK ] EitherTest.givenLeftCopyConstructed_thenOldIsCorrect (0 ms)
2022-05-18T03:46:48.0982047Z [ RUN      ] EitherTest.givenLeftCopyConstructed_withSameType_thenNewIsCorrect
2022-05-18T03:46:48.0982527Z [       OK ] EitherTest.givenLeftCopyConstructed_withSameType_thenNewIsCorrect (0 ms)
2022-05-18T03:46:48.0982999Z [ RUN      ] EitherTest.givenLeftCopyConstructed_withSameType_thenOldIsCorrect
2022-05-18T03:46:48.0983472Z [       OK ] EitherTest.givenLeftCopyConstructed_withSameType_thenOldIsCorrect (0 ms)
2022-05-18T03:46:48.0983908Z [ RUN      ] EitherTest.givenRightCopyConstructed_thenNewIsCorrect
2022-05-18T03:46:48.0984359Z [       OK ] EitherTest.givenRightCopyConstructed_thenNewIsCorrect (0 ms)
2022-05-18T03:46:48.0984797Z [ RUN      ] EitherTest.givenRightCopyConstructed_thenOldIsCorrect
2022-05-18T03:46:48.0985327Z [       OK ] EitherTest.givenRightCopyConstructed_thenOldIsCorrect (0 ms)
2022-05-18T03:46:48.0985797Z [ RUN      ] EitherTest.givenRightCopyConstructed_withSameType_thenNewIsCorrect
2022-05-18T03:46:48.0986285Z [       OK ] EitherTest.givenRightCopyConstructed_withSameType_thenNewIsCorrect (0 ms)
2022-05-18T03:46:48.0986761Z [ RUN      ] EitherTest.givenRightCopyConstructed_withSameType_thenOldIsCorrect
2022-05-18T03:46:48.0987229Z [       OK ] EitherTest.givenRightCopyConstructed_withSameType_thenOldIsCorrect (0 ms)
2022-05-18T03:46:48.0987679Z [ RUN      ] EitherTest.givenLeftMoveConstructed_thenNewIsCorrect
2022-05-18T03:46:48.0988115Z [       OK ] EitherTest.givenLeftMoveConstructed_thenNewIsCorrect (0 ms)
2022-05-18T03:46:48.0988531Z [ RUN      ] EitherTest.givenLeftMoveConstructed_thenOldIsCorrect
2022-05-18T03:46:48.0988965Z [       OK ] EitherTest.givenLeftMoveConstructed_thenOldIsCorrect (0 ms)
2022-05-18T03:46:48.0989418Z [ RUN      ] EitherTest.givenLeftMoveConstructed_withSameType_thenNewIsCorrect
2022-05-18T03:46:48.0989933Z [       OK ] EitherTest.givenLeftMoveConstructed_withSameType_thenNewIsCorrect (0 ms)
2022-05-18T03:46:48.0990645Z [ RUN      ] EitherTest.givenLeftMoveConstructed_withSameType_thenOldIsCorrect
2022-05-18T03:46:48.0991351Z [       OK ] EitherTest.givenLeftMoveConstructed_withSameType_thenOldIsCorrect (0 ms)
2022-05-18T03:46:48.0991923Z [ RUN      ] EitherTest.givenRightMoveConstructed_thenNewIsCorrect
2022-05-18T03:46:48.0992354Z [       OK ] EitherTest.givenRightMoveConstructed_thenNewIsCorrect (0 ms)
2022-05-18T03:46:48.0992993Z [ RUN      ] EitherTest.givenRightMoveConstructed_thenOldIsCorrect
2022-05-18T03:46:48.0993728Z [       OK ] EitherTest.givenRightMoveConstructed_thenOldIsCorrect (0 ms)
2022-05-18T03:46:48.0994460Z [ RUN      ] EitherTest.givenRightMoveConstructed_withSameType_thenNewIsCorrect
2022-05-18T03:46:48.0995291Z [       OK ] EitherTest.givenRightMoveConstructed_withSameType_thenNewIsCorrect (0 ms)
2022-05-18T03:46:48.0996177Z [ RUN      ] EitherTest.givenRightMoveConstructed_withSameType_thenOldIsCorrect
2022-05-18T03:46:48.0996979Z [       OK ] EitherTest.givenRightMoveConstructed_withSameType_thenOldIsCorrect (0 ms)
2022-05-18T03:46:48.0997691Z [ RUN      ] EitherTest.givenLeftCopyAssigned_thenNewIsCorrect
2022-05-18T03:46:48.0998371Z [       OK ] EitherTest.givenLeftCopyAssigned_thenNewIsCorrect (0 ms)
2022-05-18T03:46:48.0999076Z [ RUN      ] EitherTest.givenLeftCopyAssigned_thenOldIsCorrect
2022-05-18T03:46:48.0999715Z [       OK ] EitherTest.givenLeftCopyAssigned_thenOldIsCorrect (0 ms)
2022-05-18T03:46:48.1000151Z [ RUN      ] EitherTest.givenLeftCopyAssigned_withSameType_thenNewIsCorrect
2022-05-18T03:46:48.1000615Z [       OK ] EitherTest.givenLeftCopyAssigned_withSameType_thenNewIsCorrect (0 ms)
2022-05-18T03:46:48.1001158Z [ RUN      ] EitherTest.givenLeftCopyAssigned_withSameType_thenOldIsCorrect
2022-05-18T03:46:48.1001778Z [       OK ] EitherTest.givenLeftCopyAssigned_withSameType_thenOldIsCorrect (0 ms)
2022-05-18T03:46:48.1002247Z [ RUN      ] EitherTest.givenRightCopyAssigned_thenNewIsCorrect
2022-05-18T03:46:48.1002671Z [       OK ] EitherTest.givenRightCopyAssigned_thenNewIsCorrect (0 ms)
2022-05-18T03:46:48.1003351Z [ RUN      ] EitherTest.givenRightCopyAssigned_thenOldIsCorrect
2022-05-18T03:46:48.1003918Z [       OK ] EitherTest.givenRightCopyAssigned_thenOldIsCorrect (0 ms)
2022-05-18T03:46:48.1004387Z [ RUN      ] EitherTest.givenRightCopyAssigned_withSameType_thenNewIsCorrect
2022-05-18T03:46:48.1004856Z [       OK ] EitherTest.givenRightCopyAssigned_withSameType_thenNewIsCorrect (0 ms)
2022-05-18T03:46:48.1005302Z [ RUN      ] EitherTest.givenRightCopyAssigned_withSameType_thenOldIsCorrect
2022-05-18T03:46:48.1005765Z [       OK ] EitherTest.givenRightCopyAssigned_withSameType_thenOldIsCorrect (0 ms)
2022-05-18T03:46:48.1006197Z [ RUN      ] EitherTest.givenLeftMoveAssigned_thenNewIsCorrect
2022-05-18T03:46:48.1006665Z [       OK ] EitherTest.givenLeftMoveAssigned_thenNewIsCorrect (0 ms)
2022-05-18T03:46:48.1007194Z [ RUN      ] EitherTest.givenLeftMoveAssigned_thenOldIsCorrect
2022-05-18T03:46:48.1007662Z [       OK ] EitherTest.givenLeftMoveAssigned_thenOldIsCorrect (0 ms)
2022-05-18T03:46:48.1008096Z [ RUN      ] EitherTest.givenLeftMoveAssigned_withSameType_thenNewIsCorrect
2022-05-18T03:46:48.1008539Z [       OK ] EitherTest.givenLeftMoveAssigned_withSameType_thenNewIsCorrect (0 ms)
2022-05-18T03:46:48.1008996Z [ RUN      ] EitherTest.givenLeftMoveAssigned_withSameType_thenOldIsCorrect
2022-05-18T03:46:48.1009653Z [       OK ] EitherTest.givenLeftMoveAssigned_withSameType_thenOldIsCorrect (0 ms)
2022-05-18T03:46:48.1010246Z [ RUN      ] EitherTest.givenRightMoveAssigned_thenNewIsCorrect
2022-05-18T03:46:48.1011091Z [       OK ] EitherTest.givenRightMoveAssigned_thenNewIsCorrect (0 ms)
2022-05-18T03:46:48.1011528Z [ RUN      ] EitherTest.givenRightMoveAssigned_thenOldIsCorrect
2022-05-18T03:46:48.1012077Z [       OK ] EitherTest.givenRightMoveAssigned_thenOldIsCorrect (0 ms)
2022-05-18T03:46:48.1012725Z [ RUN      ] EitherTest.givenRightMoveAssigned_withSameType_thenNewIsCorrect
2022-05-18T03:46:48.1013449Z [       OK ] EitherTest.givenRightMoveAssigned_withSameType_thenNewIsCorrect (0 ms)
2022-05-18T03:46:48.1014024Z [ RUN      ] EitherTest.givenRightMoveAssigned_withSameType_thenOldIsCorrect
2022-05-18T03:46:48.1014677Z [       OK ] EitherTest.givenRightMoveAssigned_withSameType_thenOldIsCorrect (0 ms)
2022-05-18T03:46:48.1015436Z [ RUN      ] EitherTest.givenLeft_whenModified_thenValueIsChanged
2022-05-18T03:46:48.1015853Z [       OK ] EitherTest.givenLeft_whenModified_thenValueIsChanged (0 ms)
2022-05-18T03:46:48.1016272Z [ RUN      ] EitherTest.givenRight_whenModified_thenValueIsChanged
2022-05-18T03:46:48.1016754Z [       OK ] EitherTest.givenRight_whenModified_thenValueIsChanged (0 ms)
2022-05-18T03:46:48.1017145Z [ RUN      ] EitherTest.canEmplaceConstructLeft
2022-05-18T03:46:48.1017523Z [       OK ] EitherTest.canEmplaceConstructLeft (0 ms)
2022-05-18T03:46:48.1017892Z [ RUN      ] EitherTest.canEmplaceConstructRight
2022-05-18T03:46:48.1018261Z [       OK ] EitherTest.canEmplaceConstructRight (0 ms)
2022-05-18T03:46:48.1018645Z [ RUN      ] EitherTest.givenEqualLefts_thenAreEqual
2022-05-18T03:46:48.1019041Z [       OK ] EitherTest.givenEqualLefts_thenAreEqual (0 ms)
2022-05-18T03:46:48.1019622Z [ RUN      ] EitherTest.givenEqualLefts_thenAreNotUnequal
2022-05-18T03:46:48.1020267Z [       OK ] EitherTest.givenEqualLefts_thenAreNotUnequal (0 ms)
2022-05-18T03:46:48.1020845Z [ RUN      ] EitherTest.givenEqualRights_thenAreEqual
2022-05-18T03:46:48.1021241Z [       OK ] EitherTest.givenEqualRights_thenAreEqual (0 ms)
2022-05-18T03:46:48.1021621Z [ RUN      ] EitherTest.givenEqualRights_thenAreNotUnequal
2022-05-18T03:46:48.1022025Z [       OK ] EitherTest.givenEqualRights_thenAreNotUnequal (0 ms)
2022-05-18T03:46:48.1022416Z [ RUN      ] EitherTest.givenLeftAndRight_thenAreNotEqual
2022-05-18T03:46:48.1022799Z [       OK ] EitherTest.givenLeftAndRight_thenAreNotEqual (0 ms)
2022-05-18T03:46:48.1023194Z [ RUN      ] EitherTest.givenLeftAndRight_thenAreUnequal
2022-05-18T03:46:48.1023582Z [       OK ] EitherTest.givenLeftAndRight_thenAreUnequal (0 ms)
2022-05-18T03:46:48.1023905Z [ RUN      ] EitherTest.OutputLeft
2022-05-18T03:46:48.1024212Z [       OK ] EitherTest.OutputLeft (0 ms)
2022-05-18T03:46:48.1024596Z [ RUN      ] EitherTest.OutputRight
2022-05-18T03:46:48.1025067Z [       OK ] EitherTest.OutputRight (0 ms)
2022-05-18T03:46:48.1025862Z [ RUN      ] EitherTest.givenLeftAndRightWithSameType_thenAreNotEqual
2022-05-18T03:46:48.1026368Z [       OK ] EitherTest.givenLeftAndRightWithSameType_thenAreNotEqual (0 ms)
2022-05-18T03:46:48.1026898Z [ RUN      ] EitherTest.givenLeftAndRightWithSameType_thenAreUnequal
2022-05-18T03:46:48.1027620Z [       OK ] EitherTest.givenLeftAndRightWithSameType_thenAreUnequal (0 ms)
2022-05-18T03:46:48.1028276Z [----------] 73 tests from EitherTest (1 ms total)
2022-05-18T03:46:48.1028544Z 
2022-05-18T03:46:48.1028850Z [----------] 10 tests from EitherTest_Destructor
2022-05-18T03:46:48.1029496Z [ RUN      ] EitherTest_Destructor.LeftDestructorIsCalled
2022-05-18T03:46:48.1030192Z [       OK ] EitherTest_Destructor.LeftDestructorIsCalled (0 ms)
2022-05-18T03:46:48.1030944Z [ RUN      ] EitherTest_Destructor.RightDestructorIsCalled
2022-05-18T03:46:48.1031808Z [       OK ] EitherTest_Destructor.RightDestructorIsCalled (0 ms)
2022-05-18T03:46:48.1032603Z [ RUN      ] EitherTest_Destructor.LeftDestructorIsCalledAfterCopying
2022-05-18T03:46:48.1033422Z [       OK ] EitherTest_Destructor.LeftDestructorIsCalledAfterCopying (0 ms)
2022-05-18T03:46:48.1034230Z [ RUN      ] EitherTest_Destructor.RightDestructorIsCalledAfterCopying
2022-05-18T03:46:48.1035068Z [       OK ] EitherTest_Destructor.RightDestructorIsCalledAfterCopying (0 ms)
2022-05-18T03:46:48.1035876Z [ RUN      ] EitherTest_Destructor.LeftDestructorIsCalledAfterMoving
2022-05-18T03:46:48.1036709Z [       OK ] EitherTest_Destructor.LeftDestructorIsCalledAfterMoving (0 ms)
2022-05-18T03:46:48.1037530Z [ RUN      ] EitherTest_Destructor.RightDestructorIsCalledAfterMoving
2022-05-18T03:46:48.1038356Z [       OK ] EitherTest_Destructor.RightDestructorIsCalledAfterMoving (0 ms)
2022-05-18T03:46:48.1039189Z [ RUN      ] EitherTest_Destructor.LeftDestructorIsCalledAfterAssignment
2022-05-18T03:46:48.1040135Z [       OK ] EitherTest_Destructor.LeftDestructorIsCalledAfterAssignment (0 ms)
2022-05-18T03:46:48.1041001Z [ RUN      ] EitherTest_Destructor.RightDestructorIsCalledAfterAssignment
2022-05-18T03:46:48.1041843Z [       OK ] EitherTest_Destructor.RightDestructorIsCalledAfterAssignment (0 ms)
2022-05-18T03:46:48.1042707Z [ RUN      ] EitherTest_Destructor.LeftDestructorIsCalledAfterMoveAssignment
2022-05-18T03:46:48.1043918Z [       OK ] EitherTest_Destructor.LeftDestructorIsCalledAfterMoveAssignment (0 ms)
2022-05-18T03:46:48.1044765Z [ RUN      ] EitherTest_Destructor.RightDestructorIsCalledAfterMoveAssignment
2022-05-18T03:46:48.1045623Z [       OK ] EitherTest_Destructor.RightDestructorIsCalledAfterMoveAssignment (0 ms)
2022-05-18T03:46:48.1046424Z [----------] 10 tests from EitherTest_Destructor (0 ms total)
2022-05-18T03:46:48.1046740Z 
2022-05-18T03:46:48.1047048Z [----------] Global test environment tear-down
2022-05-18T03:46:48.1047598Z [==========] 83 tests from 2 test suites ran. (2 ms total)
2022-05-18T03:46:48.1048059Z [  PASSED  ] 83 tests.
2022-05-18T03:46:48.1048569Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:48.1048821Z + case "$test" in
2022-05-18T03:46:48.1049211Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_exception_test
2022-05-18T03:46:48.1049602Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:48.1050364Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_exception_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_exception_test.xml
2022-05-18T03:46:48.1050805Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:48.1051185Z [==========] Running 5 tests from 2 test suites.
2022-05-18T03:46:48.1051503Z [----------] Global test environment set-up.
2022-05-18T03:46:48.1051819Z [----------] 4 tests from ExceptionTest
2022-05-18T03:46:48.1052150Z [ RUN      ] ExceptionTest.TORCH_INTERNAL_ASSERT_DEBUG_ONLY
2022-05-18T03:46:48.1052529Z [       OK ] ExceptionTest.TORCH_INTERNAL_ASSERT_DEBUG_ONLY (0 ms)
2022-05-18T03:46:48.1052878Z [ RUN      ] ExceptionTest.CUDA_KERNEL_ASSERT
2022-05-18T03:46:48.1053197Z [       OK ] ExceptionTest.CUDA_KERNEL_ASSERT (1 ms)
2022-05-18T03:46:48.1053527Z [ RUN      ] ExceptionTest.ErrorFormatting
2022-05-18T03:46:48.1053876Z [       OK ] ExceptionTest.ErrorFormatting (0 ms)
2022-05-18T03:46:48.1054282Z [ RUN      ] ExceptionTest.DontCallArgumentFunctionsTwiceOnFailure
2022-05-18T03:46:48.1054782Z [       OK ] ExceptionTest.DontCallArgumentFunctionsTwiceOnFailure (0 ms)
2022-05-18T03:46:48.1055200Z [----------] 4 tests from ExceptionTest (1 ms total)
2022-05-18T03:46:48.1055466Z 
2022-05-18T03:46:48.1055620Z [----------] 1 test from WarningTest
2022-05-18T03:46:48.1055917Z [ RUN      ] WarningTest.JustPrintWarning
2022-05-18T03:46:48.1056271Z [W exception_test.cpp:48] Warning: I'm a warning (function TestBody)
2022-05-18T03:46:48.1056630Z [       OK ] WarningTest.JustPrintWarning (0 ms)
2022-05-18T03:46:48.1056956Z [----------] 1 test from WarningTest (0 ms total)
2022-05-18T03:46:48.1057112Z 
2022-05-18T03:46:48.1057286Z [----------] Global test environment tear-down
2022-05-18T03:46:48.1057617Z [==========] 5 tests from 2 test suites ran. (1 ms total)
2022-05-18T03:46:48.1057887Z [  PASSED  ] 5 tests.
2022-05-18T03:46:48.1058180Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:48.1058408Z + case "$test" in
2022-05-18T03:46:48.1058734Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_flags_test
2022-05-18T03:46:48.1059103Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:48.1059682Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_flags_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_flags_test.xml
2022-05-18T03:46:48.1060132Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:46:48.1060484Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:46:48.1060793Z [----------] Global test environment set-up.
2022-05-18T03:46:48.1061090Z [----------] 1 test from FlagsTest
2022-05-18T03:46:48.1061405Z [ RUN      ] FlagsTest.TestGflagsCorrectness
2022-05-18T03:46:48.1061675Z Caffe2 is not built with gflags. Nothing to test here.
2022-05-18T03:46:48.1062028Z [       OK ] FlagsTest.TestGflagsCorrectness (0 ms)
2022-05-18T03:46:48.1062370Z [----------] 1 test from FlagsTest (0 ms total)
2022-05-18T03:46:48.1062520Z 
2022-05-18T03:46:48.1062682Z [----------] Global test environment tear-down
2022-05-18T03:46:48.1063013Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-05-18T03:46:48.1063278Z [  PASSED  ] 1 test.
2022-05-18T03:46:48.1063578Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:46:48.1063810Z + case "$test" in
2022-05-18T03:46:48.1064124Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:48.1064561Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_intrusive_ptr_benchmark --benchmark_color=false
2022-05-18T03:46:48.1071402Z 2022-05-18T03:46:48+00:00
2022-05-18T03:46:48.1072034Z Running /opt/conda/lib/python3.7/site-packages/torch/test/c10_intrusive_ptr_benchmark
2022-05-18T03:46:48.1072388Z Run on (8 X 3399.96 MHz CPU s)
2022-05-18T03:46:48.1072571Z CPU Caches:
2022-05-18T03:46:48.1072756Z   L1 Data 32 KiB (x4)
2022-05-18T03:46:48.1072958Z   L1 Instruction 32 KiB (x4)
2022-05-18T03:46:48.1073149Z   L2 Unified 1024 KiB (x4)
2022-05-18T03:46:48.1073346Z   L3 Unified 25344 KiB (x1)
2022-05-18T03:46:48.1073564Z Load Average: 2.42, 2.64, 3.59
2022-05-18T03:46:48.9251469Z --------------------------------------------------------------------
2022-05-18T03:46:48.9251823Z Benchmark                          Time             CPU   Iterations
2022-05-18T03:46:48.9252183Z --------------------------------------------------------------------
2022-05-18T03:46:48.9252497Z BM_IntrusivePtrCtorDtor         10.6 ns         10.6 ns     65799349
2022-05-18T03:46:49.7432564Z BM_SharedPtrCtorDtor            10.6 ns         10.6 ns     65875294
2022-05-18T03:46:50.7056227Z BM_IntrusivePtrArray/16          236 ns          236 ns      2965495
2022-05-18T03:46:51.9302623Z BM_IntrusivePtrArray/32          472 ns          472 ns      1482747
2022-05-18T03:46:52.7352766Z BM_IntrusivePtrArray/64          945 ns          945 ns       740925
2022-05-18T03:46:53.6452217Z BM_IntrusivePtrArray/128        1889 ns         1889 ns       370580
2022-05-18T03:46:54.7650363Z BM_IntrusivePtrArray/256        3777 ns         3777 ns       185321
2022-05-18T03:46:55.5498282Z BM_IntrusivePtrArray/512        7560 ns         7560 ns        92699
2022-05-18T03:46:56.4178633Z BM_IntrusivePtrArray/1024      15122 ns        15122 ns        46285
2022-05-18T03:46:57.4539385Z BM_IntrusivePtrArray/2048      30243 ns        30243 ns        23145
2022-05-18T03:46:58.2211541Z BM_IntrusivePtrArray/4096      60510 ns        60509 ns        11566
2022-05-18T03:46:59.1833401Z BM_SharedPtrArray/16             236 ns          236 ns      2963721
2022-05-18T03:47:00.4079640Z BM_SharedPtrArray/32             472 ns          472 ns      1482296
2022-05-18T03:47:01.2131043Z BM_SharedPtrArray/64             945 ns          945 ns       740589
2022-05-18T03:47:02.1230398Z BM_SharedPtrArray/128           1890 ns         1890 ns       370436
2022-05-18T03:47:03.2439598Z BM_SharedPtrArray/256           3788 ns         3788 ns       184751
2022-05-18T03:47:04.0282635Z BM_SharedPtrArray/512           7576 ns         7576 ns        92407
2022-05-18T03:47:04.8966844Z BM_SharedPtrArray/1024         15146 ns        15146 ns        46225
2022-05-18T03:47:05.9346123Z BM_SharedPtrArray/2048         30410 ns        30409 ns        23016
2022-05-18T03:47:06.7021711Z BM_SharedPtrArray/4096         60549 ns        60548 ns        11564
2022-05-18T03:47:06.7022816Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:06.7023069Z + case "$test" in
2022-05-18T03:47:06.7031299Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_intrusive_ptr_test
2022-05-18T03:47:06.7032391Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:06.7033032Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_intrusive_ptr_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_intrusive_ptr_test.xml
2022-05-18T03:47:06.7051844Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:06.7055767Z [==========] Running 322 tests from 4 test suites.
2022-05-18T03:47:06.7056324Z [----------] Global test environment set-up.
2022-05-18T03:47:06.7056847Z [----------] 5 tests from MakeIntrusiveTest
2022-05-18T03:47:06.7057416Z [ RUN      ] MakeIntrusiveTest.ClassWith0Parameters
2022-05-18T03:47:06.7057950Z [       OK ] MakeIntrusiveTest.ClassWith0Parameters (0 ms)
2022-05-18T03:47:06.7058545Z [ RUN      ] MakeIntrusiveTest.ClassWith1Parameter
2022-05-18T03:47:06.7059123Z [       OK ] MakeIntrusiveTest.ClassWith1Parameter (0 ms)
2022-05-18T03:47:06.7059745Z [ RUN      ] MakeIntrusiveTest.ClassWith2Parameters
2022-05-18T03:47:06.7060307Z [       OK ] MakeIntrusiveTest.ClassWith2Parameters (0 ms)
2022-05-18T03:47:06.7060831Z [ RUN      ] MakeIntrusiveTest.TypeIsAutoDeductible
2022-05-18T03:47:06.7061367Z [       OK ] MakeIntrusiveTest.TypeIsAutoDeductible (0 ms)
2022-05-18T03:47:06.7061959Z [ RUN      ] MakeIntrusiveTest.CanAssignToBaseClassPtr
2022-05-18T03:47:06.7062567Z [       OK ] MakeIntrusiveTest.CanAssignToBaseClassPtr (0 ms)
2022-05-18T03:47:06.7063129Z [----------] 5 tests from MakeIntrusiveTest (0 ms total)
2022-05-18T03:47:06.7063383Z 
2022-05-18T03:47:06.7063648Z [----------] 1 test from IntrusivePtrTargetTest
2022-05-18T03:47:06.7064211Z [ RUN      ] IntrusivePtrTargetTest.whenAllocatedOnStack_thenDoesntCrash
2022-05-18T03:47:06.7064939Z [       OK ] IntrusivePtrTargetTest.whenAllocatedOnStack_thenDoesntCrash (0 ms)
2022-05-18T03:47:06.7065623Z [----------] 1 test from IntrusivePtrTargetTest (0 ms total)
2022-05-18T03:47:06.7065877Z 
2022-05-18T03:47:06.7066112Z [----------] 145 tests from IntrusivePtrTest
2022-05-18T03:47:06.7066621Z [ RUN      ] IntrusivePtrTest.givenValidPtr_whenCallingGet_thenReturnsObject
2022-05-18T03:47:06.7067232Z [       OK ] IntrusivePtrTest.givenValidPtr_whenCallingGet_thenReturnsObject (0 ms)
2022-05-18T03:47:06.7068076Z [ RUN      ] IntrusivePtrTest.givenValidPtr_whenCallingConstGet_thenReturnsObject
2022-05-18T03:47:06.7068737Z [       OK ] IntrusivePtrTest.givenValidPtr_whenCallingConstGet_thenReturnsObject (0 ms)
2022-05-18T03:47:06.7069425Z [ RUN      ] IntrusivePtrTest.givenInvalidPtr_whenCallingGet_thenReturnsNullptr
2022-05-18T03:47:06.7070072Z [       OK ] IntrusivePtrTest.givenInvalidPtr_whenCallingGet_thenReturnsNullptr (0 ms)
2022-05-18T03:47:06.7070711Z [ RUN      ] IntrusivePtrTest.givenValidPtr_whenDereferencing_thenReturnsObject
2022-05-18T03:47:06.7071422Z [       OK ] IntrusivePtrTest.givenValidPtr_whenDereferencing_thenReturnsObject (0 ms)
2022-05-18T03:47:06.7072131Z [ RUN      ] IntrusivePtrTest.givenValidPtr_whenConstDereferencing_thenReturnsObject
2022-05-18T03:47:06.7072936Z [       OK ] IntrusivePtrTest.givenValidPtr_whenConstDereferencing_thenReturnsObject (0 ms)
2022-05-18T03:47:06.7073731Z [ RUN      ] IntrusivePtrTest.givenValidPtr_whenArrowDereferencing_thenReturnsObject
2022-05-18T03:47:06.7074602Z [       OK ] IntrusivePtrTest.givenValidPtr_whenArrowDereferencing_thenReturnsObject (0 ms)
2022-05-18T03:47:06.7075363Z [ RUN      ] IntrusivePtrTest.givenValidPtr_whenConstArrowDereferencing_thenReturnsObject
2022-05-18T03:47:06.7076208Z [       OK ] IntrusivePtrTest.givenValidPtr_whenConstArrowDereferencing_thenReturnsObject (0 ms)
2022-05-18T03:47:06.7076967Z [ RUN      ] IntrusivePtrTest.givenValidPtr_whenMoveAssigning_thenPointsToSameObject
2022-05-18T03:47:06.7077797Z [       OK ] IntrusivePtrTest.givenValidPtr_whenMoveAssigning_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7078632Z [ RUN      ] IntrusivePtrTest.givenValidPtr_whenMoveAssigning_thenOldInstanceInvalid
2022-05-18T03:47:06.7079458Z [       OK ] IntrusivePtrTest.givenValidPtr_whenMoveAssigning_thenOldInstanceInvalid (0 ms)
2022-05-18T03:47:06.7080144Z [ RUN      ] IntrusivePtrTest.givenValidPtr_whenMoveAssigningToSelf_thenPointsToSameObject
2022-05-18T03:47:06.7081059Z [       OK ] IntrusivePtrTest.givenValidPtr_whenMoveAssigningToSelf_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7081849Z [ RUN      ] IntrusivePtrTest.givenValidPtr_whenMoveAssigningToSelf_thenStaysValid
2022-05-18T03:47:06.7082656Z [       OK ] IntrusivePtrTest.givenValidPtr_whenMoveAssigningToSelf_thenStaysValid (0 ms)
2022-05-18T03:47:06.7083569Z [ RUN      ] IntrusivePtrTest.givenInvalidPtr_whenMoveAssigningToSelf_thenStaysInvalid
2022-05-18T03:47:06.7084410Z [       OK ] IntrusivePtrTest.givenInvalidPtr_whenMoveAssigningToSelf_thenStaysInvalid (0 ms)
2022-05-18T03:47:06.7085298Z [ RUN      ] IntrusivePtrTest.givenInvalidPtr_whenMoveAssigning_thenNewInstanceIsValid
2022-05-18T03:47:06.7086188Z [       OK ] IntrusivePtrTest.givenInvalidPtr_whenMoveAssigning_thenNewInstanceIsValid (0 ms)
2022-05-18T03:47:06.7086892Z [ RUN      ] IntrusivePtrTest.givenInvalidPtr_whenMoveAssigning_thenPointsToSameObject
2022-05-18T03:47:06.7087646Z [       OK ] IntrusivePtrTest.givenInvalidPtr_whenMoveAssigning_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7088361Z [ RUN      ] IntrusivePtrTest.givenValidPtr_whenMoveAssigningFromInvalidPtr_thenNewInstanceIsInvalid
2022-05-18T03:47:06.7089112Z [       OK ] IntrusivePtrTest.givenValidPtr_whenMoveAssigningFromInvalidPtr_thenNewInstanceIsInvalid (0 ms)
2022-05-18T03:47:06.7090041Z [ RUN      ] IntrusivePtrTest.givenValidPtr_whenMoveAssigningToBaseClass_thenPointsToSameObject
2022-05-18T03:47:06.7091003Z [       OK ] IntrusivePtrTest.givenValidPtr_whenMoveAssigningToBaseClass_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7091835Z [ RUN      ] IntrusivePtrTest.givenValidPtr_whenMoveAssigningToBaseClass_thenOldInstanceInvalid
2022-05-18T03:47:06.7092629Z [       OK ] IntrusivePtrTest.givenValidPtr_whenMoveAssigningToBaseClass_thenOldInstanceInvalid (0 ms)
2022-05-18T03:47:06.7093521Z [ RUN      ] IntrusivePtrTest.givenInvalidPtr_whenMoveAssigningToBaseClass_thenNewInstanceIsValid
2022-05-18T03:47:06.7094353Z [       OK ] IntrusivePtrTest.givenInvalidPtr_whenMoveAssigningToBaseClass_thenNewInstanceIsValid (0 ms)
2022-05-18T03:47:06.7095137Z [ RUN      ] IntrusivePtrTest.givenInvalidPtr_whenMoveAssigningToBaseClass_thenPointsToSameObject
2022-05-18T03:47:06.7095992Z [       OK ] IntrusivePtrTest.givenInvalidPtr_whenMoveAssigningToBaseClass_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7096906Z [ RUN      ] IntrusivePtrTest.givenInvalidPtr_whenMoveAssigningInvalidPtrToBaseClass_thenNewInstanceIsValid
2022-05-18T03:47:06.7097954Z [       OK ] IntrusivePtrTest.givenInvalidPtr_whenMoveAssigningInvalidPtrToBaseClass_thenNewInstanceIsValid (0 ms)
2022-05-18T03:47:06.7098694Z [ RUN      ] IntrusivePtrTest.givenNullPtr_whenMoveAssigningToDifferentNullptr_thenHasNewNullptr
2022-05-18T03:47:06.7099396Z [       OK ] IntrusivePtrTest.givenNullPtr_whenMoveAssigningToDifferentNullptr_thenHasNewNullptr (0 ms)
2022-05-18T03:47:06.7099920Z [ RUN      ] IntrusivePtrTest.givenValidPtr_whenCopyAssigning_thenPointsToSameObject
2022-05-18T03:47:06.7100416Z [       OK ] IntrusivePtrTest.givenValidPtr_whenCopyAssigning_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7100885Z [ RUN      ] IntrusivePtrTest.givenValidPtr_whenCopyAssigning_thenOldInstanceValid
2022-05-18T03:47:06.7101369Z [       OK ] IntrusivePtrTest.givenValidPtr_whenCopyAssigning_thenOldInstanceValid (0 ms)
2022-05-18T03:47:06.7101870Z [ RUN      ] IntrusivePtrTest.givenValidPtr_whenCopyAssigningToSelf_thenPointsToSameObject
2022-05-18T03:47:06.7102391Z [       OK ] IntrusivePtrTest.givenValidPtr_whenCopyAssigningToSelf_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7102869Z [ RUN      ] IntrusivePtrTest.givenValidPtr_whenCopyAssigningToSelf_thenStaysValid
2022-05-18T03:47:06.7103360Z [       OK ] IntrusivePtrTest.givenValidPtr_whenCopyAssigningToSelf_thenStaysValid (0 ms)
2022-05-18T03:47:06.7103851Z [ RUN      ] IntrusivePtrTest.givenInvalidPtr_whenCopyAssigningToSelf_thenStaysInvalid
2022-05-18T03:47:06.7118542Z [       OK ] IntrusivePtrTest.givenInvalidPtr_whenCopyAssigningToSelf_thenStaysInvalid (0 ms)
2022-05-18T03:47:06.7119161Z [ RUN      ] IntrusivePtrTest.givenInvalidPtr_whenCopyAssigning_thenNewInstanceIsValid
2022-05-18T03:47:06.7119680Z [       OK ] IntrusivePtrTest.givenInvalidPtr_whenCopyAssigning_thenNewInstanceIsValid (0 ms)
2022-05-18T03:47:06.7120198Z [ RUN      ] IntrusivePtrTest.givenValidPtr_whenCopyAssigningToBaseClass_thenPointsToSameObject
2022-05-18T03:47:06.7120749Z [       OK ] IntrusivePtrTest.givenValidPtr_whenCopyAssigningToBaseClass_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7121278Z [ RUN      ] IntrusivePtrTest.givenValidPtr_whenCopyAssigningToBaseClass_thenOldInstanceInvalid
2022-05-18T03:47:06.7121842Z [       OK ] IntrusivePtrTest.givenValidPtr_whenCopyAssigningToBaseClass_thenOldInstanceInvalid (0 ms)
2022-05-18T03:47:06.7122389Z [ RUN      ] IntrusivePtrTest.givenInvalidPtr_whenCopyAssigningToBaseClass_thenNewInstanceIsValid
2022-05-18T03:47:06.7123077Z [       OK ] IntrusivePtrTest.givenInvalidPtr_whenCopyAssigningToBaseClass_thenNewInstanceIsValid (0 ms)
2022-05-18T03:47:06.7123647Z [ RUN      ] IntrusivePtrTest.givenInvalidPtr_whenCopyAssigningToBaseClass_thenPointsToSameObject
2022-05-18T03:47:06.7124207Z [       OK ] IntrusivePtrTest.givenInvalidPtr_whenCopyAssigningToBaseClass_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7124779Z [ RUN      ] IntrusivePtrTest.givenPtr_whenCopyAssigningInvalidPtrToBaseClass_thenNewInstanceIsInvalid
2022-05-18T03:47:06.7125350Z [       OK ] IntrusivePtrTest.givenPtr_whenCopyAssigningInvalidPtrToBaseClass_thenNewInstanceIsInvalid (0 ms)
2022-05-18T03:47:06.7126042Z [ RUN      ] IntrusivePtrTest.givenNullPtr_whenCopyAssigningToDifferentNullptr_thenHasNewNullptr
2022-05-18T03:47:06.7126602Z [       OK ] IntrusivePtrTest.givenNullPtr_whenCopyAssigningToDifferentNullptr_thenHasNewNullptr (0 ms)
2022-05-18T03:47:06.7127109Z [ RUN      ] IntrusivePtrTest.givenPtr_whenMoveConstructing_thenPointsToSameObject
2022-05-18T03:47:06.7127577Z [       OK ] IntrusivePtrTest.givenPtr_whenMoveConstructing_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7128049Z [ RUN      ] IntrusivePtrTest.givenPtr_whenMoveConstructing_thenOldInstanceInvalid
2022-05-18T03:47:06.7128528Z [       OK ] IntrusivePtrTest.givenPtr_whenMoveConstructing_thenOldInstanceInvalid (0 ms)
2022-05-18T03:47:06.7128992Z [ RUN      ] IntrusivePtrTest.givenPtr_whenMoveConstructing_thenNewInstanceValid
2022-05-18T03:47:06.7129445Z [       OK ] IntrusivePtrTest.givenPtr_whenMoveConstructing_thenNewInstanceValid (0 ms)
2022-05-18T03:47:06.7130008Z [ RUN      ] IntrusivePtrTest.givenPtr_whenMoveConstructingFromInvalidPtr_thenNewInstanceInvalid
2022-05-18T03:47:06.7130562Z [       OK ] IntrusivePtrTest.givenPtr_whenMoveConstructingFromInvalidPtr_thenNewInstanceInvalid (0 ms)
2022-05-18T03:47:06.7131086Z [ RUN      ] IntrusivePtrTest.givenPtr_whenMoveConstructingToBaseClass_thenPointsToSameObject
2022-05-18T03:47:06.7131618Z [       OK ] IntrusivePtrTest.givenPtr_whenMoveConstructingToBaseClass_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7132403Z [ RUN      ] IntrusivePtrTest.givenPtr_whenMoveConstructingToBaseClass_thenOldInstanceInvalid
2022-05-18T03:47:06.7132930Z [       OK ] IntrusivePtrTest.givenPtr_whenMoveConstructingToBaseClass_thenOldInstanceInvalid (0 ms)
2022-05-18T03:47:06.7133444Z [ RUN      ] IntrusivePtrTest.givenPtr_whenMoveConstructingToBaseClass_thenNewInstanceValid
2022-05-18T03:47:06.7133968Z [       OK ] IntrusivePtrTest.givenPtr_whenMoveConstructingToBaseClass_thenNewInstanceValid (0 ms)
2022-05-18T03:47:06.7134540Z [ RUN      ] IntrusivePtrTest.givenPtr_whenMoveConstructingToBaseClassFromInvalidPtr_thenNewInstanceInvalid
2022-05-18T03:47:06.7135156Z [       OK ] IntrusivePtrTest.givenPtr_whenMoveConstructingToBaseClassFromInvalidPtr_thenNewInstanceInvalid (0 ms)
2022-05-18T03:47:06.7135733Z [ RUN      ] IntrusivePtrTest.givenNullPtr_whenMoveConstructingToDifferentNullptr_thenHasNewNullptr
2022-05-18T03:47:06.7136309Z [       OK ] IntrusivePtrTest.givenNullPtr_whenMoveConstructingToDifferentNullptr_thenHasNewNullptr (0 ms)
2022-05-18T03:47:06.7136821Z [ RUN      ] IntrusivePtrTest.givenPtr_whenCopyConstructing_thenPointsToSameObject
2022-05-18T03:47:06.7137303Z [       OK ] IntrusivePtrTest.givenPtr_whenCopyConstructing_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7137759Z [ RUN      ] IntrusivePtrTest.givenPtr_whenCopyConstructing_thenOldInstanceValid
2022-05-18T03:47:06.7138234Z [       OK ] IntrusivePtrTest.givenPtr_whenCopyConstructing_thenOldInstanceValid (0 ms)
2022-05-18T03:47:06.7138698Z [ RUN      ] IntrusivePtrTest.givenPtr_whenCopyConstructing_thenNewInstanceValid
2022-05-18T03:47:06.7139151Z [       OK ] IntrusivePtrTest.givenPtr_whenCopyConstructing_thenNewInstanceValid (0 ms)
2022-05-18T03:47:06.7139727Z [ RUN      ] IntrusivePtrTest.givenPtr_whenCopyConstructingFromInvalidPtr_thenNewInstanceInvalid
2022-05-18T03:47:06.7140368Z [       OK ] IntrusivePtrTest.givenPtr_whenCopyConstructingFromInvalidPtr_thenNewInstanceInvalid (0 ms)
2022-05-18T03:47:06.7140914Z [ RUN      ] IntrusivePtrTest.givenPtr_whenCopyConstructingToBaseClass_thenPointsToSameObject
2022-05-18T03:47:06.7141809Z [       OK ] IntrusivePtrTest.givenPtr_whenCopyConstructingToBaseClass_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7142559Z [ RUN      ] IntrusivePtrTest.givenPtr_whenCopyConstructingToBaseClass_thenOldInstanceInvalid
2022-05-18T03:47:06.7143514Z [       OK ] IntrusivePtrTest.givenPtr_whenCopyConstructingToBaseClass_thenOldInstanceInvalid (0 ms)
2022-05-18T03:47:06.7144357Z [ RUN      ] IntrusivePtrTest.givenPtr_whenCopyConstructingToBaseClass_thenNewInstanceInvalid
2022-05-18T03:47:06.7145332Z [       OK ] IntrusivePtrTest.givenPtr_whenCopyConstructingToBaseClass_thenNewInstanceInvalid (0 ms)
2022-05-18T03:47:06.7146300Z [ RUN      ] IntrusivePtrTest.givenPtr_whenCopyConstructingToBaseClassFromInvalidPtr_thenNewInstanceInvalid
2022-05-18T03:47:06.7147417Z [       OK ] IntrusivePtrTest.givenPtr_whenCopyConstructingToBaseClassFromInvalidPtr_thenNewInstanceInvalid (0 ms)
2022-05-18T03:47:06.7148105Z [ RUN      ] IntrusivePtrTest.givenNullPtr_whenCopyConstructingToDifferentNullptr_thenHasNewNullptr
2022-05-18T03:47:06.7148675Z [       OK ] IntrusivePtrTest.givenNullPtr_whenCopyConstructingToDifferentNullptr_thenHasNewNullptr (0 ms)
2022-05-18T03:47:06.7149117Z [ RUN      ] IntrusivePtrTest.SwapFunction
2022-05-18T03:47:06.7149537Z [       OK ] IntrusivePtrTest.SwapFunction (0 ms)
2022-05-18T03:47:06.7149862Z [ RUN      ] IntrusivePtrTest.SwapMethod
2022-05-18T03:47:06.7150198Z [       OK ] IntrusivePtrTest.SwapMethod (0 ms)
2022-05-18T03:47:06.7150564Z [ RUN      ] IntrusivePtrTest.SwapFunctionFromInvalid
2022-05-18T03:47:06.7150977Z [       OK ] IntrusivePtrTest.SwapFunctionFromInvalid (0 ms)
2022-05-18T03:47:06.7151357Z [ RUN      ] IntrusivePtrTest.SwapMethodFromInvalid
2022-05-18T03:47:06.7151754Z [       OK ] IntrusivePtrTest.SwapMethodFromInvalid (0 ms)
2022-05-18T03:47:06.7152151Z [ RUN      ] IntrusivePtrTest.SwapFunctionWithInvalid
2022-05-18T03:47:06.7152540Z [       OK ] IntrusivePtrTest.SwapFunctionWithInvalid (0 ms)
2022-05-18T03:47:06.7152929Z [ RUN      ] IntrusivePtrTest.SwapMethodWithInvalid
2022-05-18T03:47:06.7153324Z [       OK ] IntrusivePtrTest.SwapMethodWithInvalid (0 ms)
2022-05-18T03:47:06.7153734Z [ RUN      ] IntrusivePtrTest.SwapFunctionInvalidWithInvalid
2022-05-18T03:47:06.7154186Z [       OK ] IntrusivePtrTest.SwapFunctionInvalidWithInvalid (0 ms)
2022-05-18T03:47:06.7154625Z [ RUN      ] IntrusivePtrTest.SwapMethodInvalidWithInvalid
2022-05-18T03:47:06.7155063Z [       OK ] IntrusivePtrTest.SwapMethodInvalidWithInvalid (0 ms)
2022-05-18T03:47:06.7155453Z [ RUN      ] IntrusivePtrTest.CanBePutInContainer
2022-05-18T03:47:06.7155833Z [       OK ] IntrusivePtrTest.CanBePutInContainer (0 ms)
2022-05-18T03:47:06.7156192Z [ RUN      ] IntrusivePtrTest.CanBePutInSet
2022-05-18T03:47:06.7156525Z [       OK ] IntrusivePtrTest.CanBePutInSet (0 ms)
2022-05-18T03:47:06.7156896Z [ RUN      ] IntrusivePtrTest.CanBePutInUnorderedSet
2022-05-18T03:47:06.7157299Z [       OK ] IntrusivePtrTest.CanBePutInUnorderedSet (0 ms)
2022-05-18T03:47:06.7157653Z [ RUN      ] IntrusivePtrTest.CanBePutInMap
2022-05-18T03:47:06.7158004Z [       OK ] IntrusivePtrTest.CanBePutInMap (0 ms)
2022-05-18T03:47:06.7158374Z [ RUN      ] IntrusivePtrTest.CanBePutInUnorderedMap
2022-05-18T03:47:06.7158771Z [       OK ] IntrusivePtrTest.CanBePutInUnorderedMap (0 ms)
2022-05-18T03:47:06.7159151Z [ RUN      ] IntrusivePtrTest.Equality_AfterCopyConstructor
2022-05-18T03:47:06.7159551Z [       OK ] IntrusivePtrTest.Equality_AfterCopyConstructor (0 ms)
2022-05-18T03:47:06.7159940Z [ RUN      ] IntrusivePtrTest.Equality_AfterCopyAssignment
2022-05-18T03:47:06.7160320Z [       OK ] IntrusivePtrTest.Equality_AfterCopyAssignment (0 ms)
2022-05-18T03:47:06.7160679Z [ RUN      ] IntrusivePtrTest.Equality_Nullptr
2022-05-18T03:47:06.7161026Z [       OK ] IntrusivePtrTest.Equality_Nullptr (0 ms)
2022-05-18T03:47:06.7161401Z [ RUN      ] IntrusivePtrTest.Inequality
2022-05-18T03:47:06.7161722Z [       OK ] IntrusivePtrTest.Inequality (0 ms)
2022-05-18T03:47:06.7162072Z [ RUN      ] IntrusivePtrTest.Inequality_NullptrLeft
2022-05-18T03:47:06.7162432Z [       OK ] IntrusivePtrTest.Inequality_NullptrLeft (0 ms)
2022-05-18T03:47:06.7162809Z [ RUN      ] IntrusivePtrTest.Inequality_NullptrRight
2022-05-18T03:47:06.7167393Z [       OK ] IntrusivePtrTest.Inequality_NullptrRight (0 ms)
2022-05-18T03:47:06.7167776Z [ RUN      ] IntrusivePtrTest.HashIsDifferent
2022-05-18T03:47:06.7168148Z [       OK ] IntrusivePtrTest.HashIsDifferent (0 ms)
2022-05-18T03:47:06.7168526Z [ RUN      ] IntrusivePtrTest.HashIsDifferent_ValidAndInvalid
2022-05-18T03:47:06.7168973Z [       OK ] IntrusivePtrTest.HashIsDifferent_ValidAndInvalid (0 ms)
2022-05-18T03:47:06.7169687Z [ RUN      ] IntrusivePtrTest.HashIsSame_AfterCopyConstructor
2022-05-18T03:47:06.7170179Z [       OK ] IntrusivePtrTest.HashIsSame_AfterCopyConstructor (0 ms)
2022-05-18T03:47:06.7170708Z [ RUN      ] IntrusivePtrTest.HashIsSame_AfterCopyAssignment
2022-05-18T03:47:06.7171117Z [       OK ] IntrusivePtrTest.HashIsSame_AfterCopyAssignment (0 ms)
2022-05-18T03:47:06.7171505Z [ RUN      ] IntrusivePtrTest.HashIsSame_BothNullptr
2022-05-18T03:47:06.7171865Z [       OK ] IntrusivePtrTest.HashIsSame_BothNullptr (0 ms)
2022-05-18T03:47:06.7172204Z [ RUN      ] IntrusivePtrTest.OneIsLess
2022-05-18T03:47:06.7172533Z [       OK ] IntrusivePtrTest.OneIsLess (0 ms)
2022-05-18T03:47:06.7172874Z [ RUN      ] IntrusivePtrTest.NullptrIsLess1
2022-05-18T03:47:06.7173215Z [       OK ] IntrusivePtrTest.NullptrIsLess1 (0 ms)
2022-05-18T03:47:06.7173563Z [ RUN      ] IntrusivePtrTest.NullptrIsLess2
2022-05-18T03:47:06.7173915Z [       OK ] IntrusivePtrTest.NullptrIsLess2 (0 ms)
2022-05-18T03:47:06.7174296Z [ RUN      ] IntrusivePtrTest.NullptrIsNotLessThanNullptr
2022-05-18T03:47:06.7174733Z [       OK ] IntrusivePtrTest.NullptrIsNotLessThanNullptr (0 ms)
2022-05-18T03:47:06.7175163Z [ RUN      ] IntrusivePtrTest.givenPtr_whenCallingReset_thenIsInvalid
2022-05-18T03:47:06.7175577Z [       OK ] IntrusivePtrTest.givenPtr_whenCallingReset_thenIsInvalid (0 ms)
2022-05-18T03:47:06.7176004Z [ RUN      ] IntrusivePtrTest.givenPtr_whenCallingReset_thenHoldsNullptr
2022-05-18T03:47:06.7176440Z [       OK ] IntrusivePtrTest.givenPtr_whenCallingReset_thenHoldsNullptr (0 ms)
2022-05-18T03:47:06.7176880Z [ RUN      ] IntrusivePtrTest.givenPtr_whenDestructed_thenDestructsObject
2022-05-18T03:47:06.7177307Z [       OK ] IntrusivePtrTest.givenPtr_whenDestructed_thenDestructsObject (0 ms)
2022-05-18T03:47:06.7177818Z [ RUN      ] IntrusivePtrTest.givenPtr_whenMoveConstructed_thenDestructsObjectAfterSecondDestructed
2022-05-18T03:47:06.7178397Z [       OK ] IntrusivePtrTest.givenPtr_whenMoveConstructed_thenDestructsObjectAfterSecondDestructed (0 ms)
2022-05-18T03:47:06.7178995Z [ RUN      ] IntrusivePtrTest.givenPtr_whenMoveConstructedToBaseClass_thenDestructsObjectAfterSecondDestructed
2022-05-18T03:47:06.7179604Z [       OK ] IntrusivePtrTest.givenPtr_whenMoveConstructedToBaseClass_thenDestructsObjectAfterSecondDestructed (0 ms)
2022-05-18T03:47:06.7180128Z [ RUN      ] IntrusivePtrTest.givenPtr_whenMoveAssigned_thenDestructsOldObject
2022-05-18T03:47:06.7180587Z [       OK ] IntrusivePtrTest.givenPtr_whenMoveAssigned_thenDestructsOldObject (0 ms)
2022-05-18T03:47:06.7181057Z [ RUN      ] IntrusivePtrTest.givenPtr_whenMoveAssignedToBaseClass_thenDestructsOldObject
2022-05-18T03:47:06.7181573Z [       OK ] IntrusivePtrTest.givenPtr_whenMoveAssignedToBaseClass_thenDestructsOldObject (0 ms)
2022-05-18T03:47:06.7182143Z [ RUN      ] IntrusivePtrTest.givenPtrWithCopy_whenMoveAssigned_thenDestructsOldObjectAfterCopyIsDestructed
2022-05-18T03:47:06.7182814Z [       OK ] IntrusivePtrTest.givenPtrWithCopy_whenMoveAssigned_thenDestructsOldObjectAfterCopyIsDestructed (0 ms)
2022-05-18T03:47:06.7183445Z [ RUN      ] IntrusivePtrTest.givenPtrWithBaseClassCopy_whenMoveAssigned_thenDestructsOldObjectAfterCopyIsDestructed
2022-05-18T03:47:06.7184263Z [       OK ] IntrusivePtrTest.givenPtrWithBaseClassCopy_whenMoveAssigned_thenDestructsOldObjectAfterCopyIsDestructed (0 ms)
2022-05-18T03:47:06.7185291Z [ RUN      ] IntrusivePtrTest.givenPtrWithCopy_whenMoveAssignedToBaseClass_thenDestructsOldObjectAfterCopyIsDestructed
2022-05-18T03:47:06.7185999Z [       OK ] IntrusivePtrTest.givenPtrWithCopy_whenMoveAssignedToBaseClass_thenDestructsOldObjectAfterCopyIsDestructed (0 ms)
2022-05-18T03:47:06.7186704Z [ RUN      ] IntrusivePtrTest.givenPtr_whenMoveAssigned_thenDestructsObjectAfterSecondDestructed
2022-05-18T03:47:06.7187628Z [       OK ] IntrusivePtrTest.givenPtr_whenMoveAssigned_thenDestructsObjectAfterSecondDestructed (0 ms)
2022-05-18T03:47:06.7188253Z [ RUN      ] IntrusivePtrTest.givenPtr_whenMoveAssignedToBaseClass_thenDestructsObjectAfterSecondDestructed
2022-05-18T03:47:06.7188901Z [       OK ] IntrusivePtrTest.givenPtr_whenMoveAssignedToBaseClass_thenDestructsObjectAfterSecondDestructed (0 ms)
2022-05-18T03:47:06.7189521Z [ RUN      ] IntrusivePtrTest.givenPtr_whenCopyConstructedAndDestructed_thenDestructsObjectAfterLastDestruction
2022-05-18T03:47:06.7190348Z [       OK ] IntrusivePtrTest.givenPtr_whenCopyConstructedAndDestructed_thenDestructsObjectAfterLastDestruction (0 ms)
2022-05-18T03:47:06.7191255Z [ RUN      ] IntrusivePtrTest.givenPtr_whenCopyConstructedToBaseClassAndDestructed_thenDestructsObjectAfterLastDestruction
2022-05-18T03:47:06.7192088Z [       OK ] IntrusivePtrTest.givenPtr_whenCopyConstructedToBaseClassAndDestructed_thenDestructsObjectAfterLastDestruction (0 ms)
2022-05-18T03:47:06.7192761Z [ RUN      ] IntrusivePtrTest.givenPtr_whenCopyConstructedAndOriginalDestructed_thenDestructsObjectAfterLastDestruction
2022-05-18T03:47:06.7193477Z [       OK ] IntrusivePtrTest.givenPtr_whenCopyConstructedAndOriginalDestructed_thenDestructsObjectAfterLastDestruction (0 ms)
2022-05-18T03:47:06.7194596Z [ RUN      ] IntrusivePtrTest.givenPtr_whenCopyConstructedToBaseClassAndOriginalDestructed_thenDestructsObjectAfterLastDestruction
2022-05-18T03:47:06.7195384Z [       OK ] IntrusivePtrTest.givenPtr_whenCopyConstructedToBaseClassAndOriginalDestructed_thenDestructsObjectAfterLastDestruction (0 ms)
2022-05-18T03:47:06.7196042Z [ RUN      ] IntrusivePtrTest.givenPtr_whenCopyAssignedAndDestructed_thenDestructsObjectAfterLastDestruction
2022-05-18T03:47:06.7196655Z [       OK ] IntrusivePtrTest.givenPtr_whenCopyAssignedAndDestructed_thenDestructsObjectAfterLastDestruction (0 ms)
2022-05-18T03:47:06.7197305Z [ RUN      ] IntrusivePtrTest.givenPtr_whenCopyAssignedToBaseClassAndDestructed_thenDestructsObjectAfterLastDestruction
2022-05-18T03:47:06.7197980Z [       OK ] IntrusivePtrTest.givenPtr_whenCopyAssignedToBaseClassAndDestructed_thenDestructsObjectAfterLastDestruction (0 ms)
2022-05-18T03:47:06.7198769Z [ RUN      ] IntrusivePtrTest.givenPtr_whenCopyAssignedAndOriginalDestructed_thenDestructsObjectAfterLastDestruction
2022-05-18T03:47:06.7199823Z [       OK ] IntrusivePtrTest.givenPtr_whenCopyAssignedAndOriginalDestructed_thenDestructsObjectAfterLastDestruction (0 ms)
2022-05-18T03:47:06.7200529Z [ RUN      ] IntrusivePtrTest.givenPtr_whenCopyAssignedToBaseClassAndOriginalDestructed_thenDestructsObjectAfterLastDestruction
2022-05-18T03:47:06.7201259Z [       OK ] IntrusivePtrTest.givenPtr_whenCopyAssignedToBaseClassAndOriginalDestructed_thenDestructsObjectAfterLastDestruction (0 ms)
2022-05-18T03:47:06.7201875Z [ RUN      ] IntrusivePtrTest.givenPtr_whenCopyAssigned_thenDestructsOldObject
2022-05-18T03:47:06.7202342Z [       OK ] IntrusivePtrTest.givenPtr_whenCopyAssigned_thenDestructsOldObject (0 ms)
2022-05-18T03:47:06.7202832Z [ RUN      ] IntrusivePtrTest.givenPtr_whenCopyAssignedToBaseClass_thenDestructsOldObject
2022-05-18T03:47:06.7203571Z [       OK ] IntrusivePtrTest.givenPtr_whenCopyAssignedToBaseClass_thenDestructsOldObject (0 ms)
2022-05-18T03:47:06.7204127Z [ RUN      ] IntrusivePtrTest.givenPtrWithCopy_whenCopyAssigned_thenDestructsOldObjectAfterCopyIsDestructed
2022-05-18T03:47:06.7204754Z [       OK ] IntrusivePtrTest.givenPtrWithCopy_whenCopyAssigned_thenDestructsOldObjectAfterCopyIsDestructed (0 ms)
2022-05-18T03:47:06.7205403Z [ RUN      ] IntrusivePtrTest.givenPtrWithBaseClassCopy_whenCopyAssigned_thenDestructsOldObjectAfterCopyIsDestructed
2022-05-18T03:47:06.7206077Z [       OK ] IntrusivePtrTest.givenPtrWithBaseClassCopy_whenCopyAssigned_thenDestructsOldObjectAfterCopyIsDestructed (0 ms)
2022-05-18T03:47:06.7206790Z [ RUN      ] IntrusivePtrTest.givenPtrWithCopy_whenCopyAssignedToBaseClass_thenDestructsOldObjectAfterCopyIsDestructed
2022-05-18T03:47:06.7207464Z [       OK ] IntrusivePtrTest.givenPtrWithCopy_whenCopyAssignedToBaseClass_thenDestructsOldObjectAfterCopyIsDestructed (0 ms)
2022-05-18T03:47:06.7207993Z [ RUN      ] IntrusivePtrTest.givenPtr_whenCallingReset_thenDestructs
2022-05-18T03:47:06.7208409Z [       OK ] IntrusivePtrTest.givenPtr_whenCallingReset_thenDestructs (0 ms)
2022-05-18T03:47:06.7208906Z [ RUN      ] IntrusivePtrTest.givenPtrWithCopy_whenCallingReset_thenDestructsAfterCopyDestructed
2022-05-18T03:47:06.7209466Z [       OK ] IntrusivePtrTest.givenPtrWithCopy_whenCallingReset_thenDestructsAfterCopyDestructed (0 ms)
2022-05-18T03:47:06.7210048Z [ RUN      ] IntrusivePtrTest.givenPtrWithCopy_whenCallingResetOnCopy_thenDestructsAfterOriginalDestructed
2022-05-18T03:47:06.7210647Z [       OK ] IntrusivePtrTest.givenPtrWithCopy_whenCallingResetOnCopy_thenDestructsAfterOriginalDestructed (0 ms)
2022-05-18T03:47:06.7211230Z [ RUN      ] IntrusivePtrTest.givenPtrWithMoved_whenCallingReset_thenDestructsAfterMovedDestructed
2022-05-18T03:47:06.7211798Z [       OK ] IntrusivePtrTest.givenPtrWithMoved_whenCallingReset_thenDestructsAfterMovedDestructed (0 ms)
2022-05-18T03:47:06.7212349Z [ RUN      ] IntrusivePtrTest.givenPtrWithMoved_whenCallingResetOnMoved_thenDestructsImmediately
2022-05-18T03:47:06.7212885Z [       OK ] IntrusivePtrTest.givenPtrWithMoved_whenCallingResetOnMoved_thenDestructsImmediately (0 ms)
2022-05-18T03:47:06.7213365Z [ RUN      ] IntrusivePtrTest.AllowsMoveConstructingToConst
2022-05-18T03:47:06.7213906Z [       OK ] IntrusivePtrTest.AllowsMoveConstructingToConst (0 ms)
2022-05-18T03:47:06.7214568Z [ RUN      ] IntrusivePtrTest.AllowsCopyConstructingToConst
2022-05-18T03:47:06.7215053Z [       OK ] IntrusivePtrTest.AllowsCopyConstructingToConst (0 ms)
2022-05-18T03:47:06.7215487Z [ RUN      ] IntrusivePtrTest.AllowsMoveAssigningToConst
2022-05-18T03:47:06.7215913Z [       OK ] IntrusivePtrTest.AllowsMoveAssigningToConst (0 ms)
2022-05-18T03:47:06.7216528Z [ RUN      ] IntrusivePtrTest.AllowsCopyAssigningToConst
2022-05-18T03:47:06.7217250Z [       OK ] IntrusivePtrTest.AllowsCopyAssigningToConst (0 ms)
2022-05-18T03:47:06.7217941Z [ RUN      ] IntrusivePtrTest.givenNewPtr_thenHasUseCount1
2022-05-18T03:47:06.7218639Z [       OK ] IntrusivePtrTest.givenNewPtr_thenHasUseCount1 (0 ms)
2022-05-18T03:47:06.7219326Z [ RUN      ] IntrusivePtrTest.givenNewPtr_thenIsUnique
2022-05-18T03:47:06.7219978Z [       OK ] IntrusivePtrTest.givenNewPtr_thenIsUnique (0 ms)
2022-05-18T03:47:06.7220648Z [ RUN      ] IntrusivePtrTest.givenEmptyPtr_thenHasUseCount0
2022-05-18T03:47:06.7221430Z [       OK ] IntrusivePtrTest.givenEmptyPtr_thenHasUseCount0 (0 ms)
2022-05-18T03:47:06.7222095Z [ RUN      ] IntrusivePtrTest.givenEmptyPtr_thenIsNotUnique
2022-05-18T03:47:06.7222807Z [       OK ] IntrusivePtrTest.givenEmptyPtr_thenIsNotUnique (0 ms)
2022-05-18T03:47:06.7223467Z [ RUN      ] IntrusivePtrTest.givenResetPtr_thenHasUseCount0
2022-05-18T03:47:06.7224148Z [       OK ] IntrusivePtrTest.givenResetPtr_thenHasUseCount0 (0 ms)
2022-05-18T03:47:06.7224812Z [ RUN      ] IntrusivePtrTest.givenResetPtr_thenIsNotUnique
2022-05-18T03:47:06.7225590Z [       OK ] IntrusivePtrTest.givenResetPtr_thenIsNotUnique (0 ms)
2022-05-18T03:47:06.7226327Z [ RUN      ] IntrusivePtrTest.givenMoveConstructedPtr_thenHasUseCount1
2022-05-18T03:47:06.7227139Z [       OK ] IntrusivePtrTest.givenMoveConstructedPtr_thenHasUseCount1 (0 ms)
2022-05-18T03:47:06.7227645Z [ RUN      ] IntrusivePtrTest.givenMoveConstructedPtr_thenIsUnique
2022-05-18T03:47:06.7228096Z [       OK ] IntrusivePtrTest.givenMoveConstructedPtr_thenIsUnique (0 ms)
2022-05-18T03:47:06.7228698Z [ RUN      ] IntrusivePtrTest.givenMoveConstructedPtr_thenOldHasUseCount0
2022-05-18T03:47:06.7229244Z [       OK ] IntrusivePtrTest.givenMoveConstructedPtr_thenOldHasUseCount0 (0 ms)
2022-05-18T03:47:06.7229936Z [ RUN      ] IntrusivePtrTest.givenMoveConstructedPtr_thenOldIsNotUnique
2022-05-18T03:47:06.7230627Z [       OK ] IntrusivePtrTest.givenMoveConstructedPtr_thenOldIsNotUnique (0 ms)
2022-05-18T03:47:06.7231091Z [ RUN      ] IntrusivePtrTest.givenMoveAssignedPtr_thenHasUseCount1
2022-05-18T03:47:06.7231576Z [       OK ] IntrusivePtrTest.givenMoveAssignedPtr_thenHasUseCount1 (0 ms)
2022-05-18T03:47:06.7232052Z [ RUN      ] IntrusivePtrTest.givenMoveAssignedPtr_thenIsUnique
2022-05-18T03:47:06.7232819Z [       OK ] IntrusivePtrTest.givenMoveAssignedPtr_thenIsUnique (0 ms)
2022-05-18T03:47:06.7233427Z [ RUN      ] IntrusivePtrTest.givenMoveAssignedPtr_thenOldHasUseCount0
2022-05-18T03:47:06.7234023Z [       OK ] IntrusivePtrTest.givenMoveAssignedPtr_thenOldHasUseCount0 (0 ms)
2022-05-18T03:47:06.7234462Z [ RUN      ] IntrusivePtrTest.givenMoveAssignedPtr_thenOldIsNotUnique
2022-05-18T03:47:06.7234913Z [       OK ] IntrusivePtrTest.givenMoveAssignedPtr_thenOldIsNotUnique (0 ms)
2022-05-18T03:47:06.7235372Z [ RUN      ] IntrusivePtrTest.givenCopyConstructedPtr_thenHasUseCount2
2022-05-18T03:47:06.7235821Z [       OK ] IntrusivePtrTest.givenCopyConstructedPtr_thenHasUseCount2 (0 ms)
2022-05-18T03:47:06.7236280Z [ RUN      ] IntrusivePtrTest.givenCopyConstructedPtr_thenIsNotUnique
2022-05-18T03:47:06.7236743Z [       OK ] IntrusivePtrTest.givenCopyConstructedPtr_thenIsNotUnique (0 ms)
2022-05-18T03:47:06.7237207Z [ RUN      ] IntrusivePtrTest.givenCopyConstructedPtr_thenOldHasUseCount2
2022-05-18T03:47:06.7237675Z [       OK ] IntrusivePtrTest.givenCopyConstructedPtr_thenOldHasUseCount2 (0 ms)
2022-05-18T03:47:06.7238145Z [ RUN      ] IntrusivePtrTest.givenCopyConstructedPtr_thenOldIsNotUnique
2022-05-18T03:47:06.7238615Z [       OK ] IntrusivePtrTest.givenCopyConstructedPtr_thenOldIsNotUnique (0 ms)
2022-05-18T03:47:06.7239104Z [ RUN      ] IntrusivePtrTest.givenCopyConstructedPtr_whenDestructingCopy_thenHasUseCount1
2022-05-18T03:47:06.7239640Z [       OK ] IntrusivePtrTest.givenCopyConstructedPtr_whenDestructingCopy_thenHasUseCount1 (0 ms)
2022-05-18T03:47:06.7240159Z [ RUN      ] IntrusivePtrTest.givenCopyConstructedPtr_whenDestructingCopy_thenIsUnique
2022-05-18T03:47:06.7240676Z [       OK ] IntrusivePtrTest.givenCopyConstructedPtr_whenDestructingCopy_thenIsUnique (0 ms)
2022-05-18T03:47:06.7241185Z [ RUN      ] IntrusivePtrTest.givenCopyConstructedPtr_whenReassigningCopy_thenHasUseCount1
2022-05-18T03:47:06.7241769Z [       OK ] IntrusivePtrTest.givenCopyConstructedPtr_whenReassigningCopy_thenHasUseCount1 (0 ms)
2022-05-18T03:47:06.7242291Z [ RUN      ] IntrusivePtrTest.givenCopyConstructedPtr_whenReassigningCopy_thenIsUnique
2022-05-18T03:47:06.7243198Z [       OK ] IntrusivePtrTest.givenCopyConstructedPtr_whenReassigningCopy_thenIsUnique (0 ms)
2022-05-18T03:47:06.7243762Z [ RUN      ] IntrusivePtrTest.givenCopyAssignedPtr_thenHasUseCount2
2022-05-18T03:47:06.7244247Z [       OK ] IntrusivePtrTest.givenCopyAssignedPtr_thenHasUseCount2 (0 ms)
2022-05-18T03:47:06.7244689Z [ RUN      ] IntrusivePtrTest.givenCopyAssignedPtr_thenIsNotUnique
2022-05-18T03:47:06.7245120Z [       OK ] IntrusivePtrTest.givenCopyAssignedPtr_thenIsNotUnique (0 ms)
2022-05-18T03:47:06.7245600Z [ RUN      ] IntrusivePtrTest.givenCopyAssignedPtr_whenDestructingCopy_thenHasUseCount1
2022-05-18T03:47:06.7246128Z [       OK ] IntrusivePtrTest.givenCopyAssignedPtr_whenDestructingCopy_thenHasUseCount1 (0 ms)
2022-05-18T03:47:06.7246907Z [ RUN      ] IntrusivePtrTest.givenCopyAssignedPtr_whenDestructingCopy_thenIsUnique
2022-05-18T03:47:06.7247466Z [       OK ] IntrusivePtrTest.givenCopyAssignedPtr_whenDestructingCopy_thenIsUnique (0 ms)
2022-05-18T03:47:06.7247974Z [ RUN      ] IntrusivePtrTest.givenCopyAssignedPtr_whenReassigningCopy_thenHasUseCount1
2022-05-18T03:47:06.7248487Z [       OK ] IntrusivePtrTest.givenCopyAssignedPtr_whenReassigningCopy_thenHasUseCount1 (0 ms)
2022-05-18T03:47:06.7249070Z [ RUN      ] IntrusivePtrTest.givenCopyAssignedPtr_whenReassigningCopy_thenIsUnique
2022-05-18T03:47:06.7249720Z [       OK ] IntrusivePtrTest.givenCopyAssignedPtr_whenReassigningCopy_thenIsUnique (0 ms)
2022-05-18T03:47:06.7250547Z [ RUN      ] IntrusivePtrTest.givenPtr_whenReleasedAndReclaimed_thenDoesntCrash
2022-05-18T03:47:06.7251335Z [       OK ] IntrusivePtrTest.givenPtr_whenReleasedAndReclaimed_thenDoesntCrash (0 ms)
2022-05-18T03:47:06.7252201Z [ RUN      ] IntrusivePtrTest.givenPtr_whenReleasedAndReclaimed_thenIsDestructedAtEnd
2022-05-18T03:47:06.7253048Z [       OK ] IntrusivePtrTest.givenPtr_whenReleasedAndReclaimed_thenIsDestructedAtEnd (0 ms)
2022-05-18T03:47:06.7253833Z [ RUN      ] IntrusivePtrTest.givenPtr_whenNonOwningReclaimed_thenDoesntCrash
2022-05-18T03:47:06.7254710Z [       OK ] IntrusivePtrTest.givenPtr_whenNonOwningReclaimed_thenDoesntCrash (0 ms)
2022-05-18T03:47:06.7255537Z [ RUN      ] IntrusivePtrTest.givenPtr_whenNonOwningReclaimed_thenIsDestructedAtEnd
2022-05-18T03:47:06.7256431Z [       OK ] IntrusivePtrTest.givenPtr_whenNonOwningReclaimed_thenIsDestructedAtEnd (0 ms)
2022-05-18T03:47:06.7257112Z [----------] 145 tests from IntrusivePtrTest (2 ms total)
2022-05-18T03:47:06.7257292Z 
2022-05-18T03:47:06.7257467Z [----------] 171 tests from WeakIntrusivePtrTest
2022-05-18T03:47:06.7257906Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCreatingAndDestructing_thenDoesntCrash
2022-05-18T03:47:06.7258412Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCreatingAndDestructing_thenDoesntCrash (0 ms)
2022-05-18T03:47:06.7258904Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenLocking_thenReturnsCorrectObject
2022-05-18T03:47:06.7259364Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenLocking_thenReturnsCorrectObject (0 ms)
2022-05-18T03:47:06.7259830Z [ RUN      ] WeakIntrusivePtrTest.expiredPtr_whenLocking_thenReturnsNullType
2022-05-18T03:47:06.7260296Z [       OK ] WeakIntrusivePtrTest.expiredPtr_whenLocking_thenReturnsNullType (0 ms)
2022-05-18T03:47:06.7260708Z [ RUN      ] WeakIntrusivePtrTest.weakNullPtr_locking
2022-05-18T03:47:06.7261083Z [       OK ] WeakIntrusivePtrTest.weakNullPtr_locking (0 ms)
2022-05-18T03:47:06.7261545Z [ RUN      ] WeakIntrusivePtrTest.givenValidPtr_whenMoveAssigning_thenPointsToSameObject
2022-05-18T03:47:06.7262177Z [       OK ] WeakIntrusivePtrTest.givenValidPtr_whenMoveAssigning_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7262675Z [ RUN      ] WeakIntrusivePtrTest.givenValidPtr_whenMoveAssigning_thenOldInstanceInvalid
2022-05-18T03:47:06.7263193Z [       OK ] WeakIntrusivePtrTest.givenValidPtr_whenMoveAssigning_thenOldInstanceInvalid (0 ms)
2022-05-18T03:47:06.7263640Z [ RUN      ] WeakIntrusivePtrTest.vector_insert_weak_intrusive
2022-05-18T03:47:06.7264046Z [       OK ] WeakIntrusivePtrTest.vector_insert_weak_intrusive (0 ms)
2022-05-18T03:47:06.7264503Z [ RUN      ] WeakIntrusivePtrTest.givenInvalidPtr_whenMoveAssigning_thenNewInstanceIsValid
2022-05-18T03:47:06.7265031Z [       OK ] WeakIntrusivePtrTest.givenInvalidPtr_whenMoveAssigning_thenNewInstanceIsValid (0 ms)
2022-05-18T03:47:06.7265653Z [ RUN      ] WeakIntrusivePtrTest.givenValidPtr_whenMoveAssigningToSelf_thenPointsToSameObject
2022-05-18T03:47:06.7266260Z [       OK ] WeakIntrusivePtrTest.givenValidPtr_whenMoveAssigningToSelf_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7266790Z [ RUN      ] WeakIntrusivePtrTest.givenValidPtr_whenMoveAssigningToSelf_thenStaysValid
2022-05-18T03:47:06.7267303Z [       OK ] WeakIntrusivePtrTest.givenValidPtr_whenMoveAssigningToSelf_thenStaysValid (0 ms)
2022-05-18T03:47:06.7267814Z [ RUN      ] WeakIntrusivePtrTest.givenInvalidPtr_whenMoveAssigning_thenPointsToSameObject
2022-05-18T03:47:06.7268330Z [       OK ] WeakIntrusivePtrTest.givenInvalidPtr_whenMoveAssigning_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7268857Z [ RUN      ] WeakIntrusivePtrTest.givenInvalidPtr_whenMoveAssigningToSelf_thenStaysInvalid
2022-05-18T03:47:06.7269383Z [       OK ] WeakIntrusivePtrTest.givenInvalidPtr_whenMoveAssigningToSelf_thenStaysInvalid (0 ms)
2022-05-18T03:47:06.7269906Z [ RUN      ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenMoveAssigning_thenNewInstanceIsValid
2022-05-18T03:47:06.7270430Z [       OK ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenMoveAssigning_thenNewInstanceIsValid (0 ms)
2022-05-18T03:47:06.7270961Z [ RUN      ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenMoveAssigning_thenPointsToSameObject
2022-05-18T03:47:06.7271492Z [       OK ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenMoveAssigning_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7272018Z [ RUN      ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenMoveAssigningToSelf_thenStaysInvalid
2022-05-18T03:47:06.7272536Z [       OK ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenMoveAssigningToSelf_thenStaysInvalid (0 ms)
2022-05-18T03:47:06.7273076Z [ RUN      ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenMoveAssigningToSelf_thenPointsToSameObject
2022-05-18T03:47:06.7273633Z [       OK ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenMoveAssigningToSelf_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7274195Z [ RUN      ] WeakIntrusivePtrTest.givenValidPtr_whenMoveAssigningFromInvalidPtr_thenNewInstanceIsInvalid
2022-05-18T03:47:06.7274790Z [       OK ] WeakIntrusivePtrTest.givenValidPtr_whenMoveAssigningFromInvalidPtr_thenNewInstanceIsInvalid (0 ms)
2022-05-18T03:47:06.7275538Z [ RUN      ] WeakIntrusivePtrTest.givenValidPtr_whenMoveAssigningFromWeakOnlyPtr_thenNewInstanceIsInvalid
2022-05-18T03:47:06.7276449Z [       OK ] WeakIntrusivePtrTest.givenValidPtr_whenMoveAssigningFromWeakOnlyPtr_thenNewInstanceIsInvalid (0 ms)
2022-05-18T03:47:06.7277487Z [ RUN      ] WeakIntrusivePtrTest.givenValidPtr_whenMoveAssigningToBaseClass_thenPointsToSameObject
2022-05-18T03:47:06.7278500Z [       OK ] WeakIntrusivePtrTest.givenValidPtr_whenMoveAssigningToBaseClass_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7279512Z [ RUN      ] WeakIntrusivePtrTest.givenValidPtr_whenMoveAssigningToBaseClass_thenOldInstanceInvalid
2022-05-18T03:47:06.7280577Z [       OK ] WeakIntrusivePtrTest.givenValidPtr_whenMoveAssigningToBaseClass_thenOldInstanceInvalid (0 ms)
2022-05-18T03:47:06.7281322Z [ RUN      ] WeakIntrusivePtrTest.givenInvalidPtr_whenMoveAssigningToBaseClass_thenNewInstanceIsValid
2022-05-18T03:47:06.7281901Z [       OK ] WeakIntrusivePtrTest.givenInvalidPtr_whenMoveAssigningToBaseClass_thenNewInstanceIsValid (0 ms)
2022-05-18T03:47:06.7282473Z [ RUN      ] WeakIntrusivePtrTest.givenInvalidPtr_whenMoveAssigningToBaseClass_thenPointsToSameObject
2022-05-18T03:47:06.7283198Z [       OK ] WeakIntrusivePtrTest.givenInvalidPtr_whenMoveAssigningToBaseClass_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7283800Z [ RUN      ] WeakIntrusivePtrTest.givenInvalidPtr_whenMoveAssigningInvalidPtrToBaseClass_thenNewInstanceIsValid
2022-05-18T03:47:06.7284440Z [       OK ] WeakIntrusivePtrTest.givenInvalidPtr_whenMoveAssigningInvalidPtrToBaseClass_thenNewInstanceIsValid (0 ms)
2022-05-18T03:47:06.7285050Z [ RUN      ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenMoveAssigningToBaseClass_thenNewInstanceIsValid
2022-05-18T03:47:06.7285699Z [       OK ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenMoveAssigningToBaseClass_thenNewInstanceIsValid (0 ms)
2022-05-18T03:47:06.7286372Z [ RUN      ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenMoveAssigningToBaseClass_thenPointsToSameObject
2022-05-18T03:47:06.7286963Z [       OK ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenMoveAssigningToBaseClass_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7287578Z [ RUN      ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenMoveAssigningInvalidPtrToBaseClass_thenNewInstanceIsValid
2022-05-18T03:47:06.7288303Z [       OK ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenMoveAssigningInvalidPtrToBaseClass_thenNewInstanceIsValid (0 ms)
2022-05-18T03:47:06.7288891Z [ RUN      ] WeakIntrusivePtrTest.givenNullPtr_whenMoveAssigningToDifferentNullptr_thenHasNewNullptr
2022-05-18T03:47:06.7289479Z [       OK ] WeakIntrusivePtrTest.givenNullPtr_whenMoveAssigningToDifferentNullptr_thenHasNewNullptr (0 ms)
2022-05-18T03:47:06.7290024Z [ RUN      ] WeakIntrusivePtrTest.givenValidPtr_whenCopyAssigning_thenPointsToSameObject
2022-05-18T03:47:06.7290580Z [       OK ] WeakIntrusivePtrTest.givenValidPtr_whenCopyAssigning_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7291134Z [ RUN      ] WeakIntrusivePtrTest.givenValidPtr_whenCopyAssigning_thenOldInstanceValid
2022-05-18T03:47:06.7291643Z [       OK ] WeakIntrusivePtrTest.givenValidPtr_whenCopyAssigning_thenOldInstanceValid (0 ms)
2022-05-18T03:47:06.7292166Z [ RUN      ] WeakIntrusivePtrTest.givenValidPtr_whenCopyAssigningToSelf_thenPointsToSameObject
2022-05-18T03:47:06.7292699Z [       OK ] WeakIntrusivePtrTest.givenValidPtr_whenCopyAssigningToSelf_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7293218Z [ RUN      ] WeakIntrusivePtrTest.givenValidPtr_whenCopyAssigningToSelf_thenStaysValid
2022-05-18T03:47:06.7293734Z [       OK ] WeakIntrusivePtrTest.givenValidPtr_whenCopyAssigningToSelf_thenStaysValid (0 ms)
2022-05-18T03:47:06.7294256Z [ RUN      ] WeakIntrusivePtrTest.givenInvalidPtr_whenCopyAssigning_thenNewInstanceIsValid
2022-05-18T03:47:06.7294774Z [       OK ] WeakIntrusivePtrTest.givenInvalidPtr_whenCopyAssigning_thenNewInstanceIsValid (0 ms)
2022-05-18T03:47:06.7295466Z [ RUN      ] WeakIntrusivePtrTest.givenInvalidPtr_whenCopyAssigningToSelf_thenStaysInvalid
2022-05-18T03:47:06.7296098Z [       OK ] WeakIntrusivePtrTest.givenInvalidPtr_whenCopyAssigningToSelf_thenStaysInvalid (0 ms)
2022-05-18T03:47:06.7296897Z [ RUN      ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenCopyAssigning_thenNewInstanceIsValid
2022-05-18T03:47:06.7297421Z [       OK ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenCopyAssigning_thenNewInstanceIsValid (0 ms)
2022-05-18T03:47:06.7298020Z [ RUN      ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenCopyAssigning_thenPointsToSameObject
2022-05-18T03:47:06.7298558Z [       OK ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenCopyAssigning_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7299071Z [ RUN      ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenCopyAssigningToSelf_thenStaysInvalid
2022-05-18T03:47:06.7299605Z [       OK ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenCopyAssigningToSelf_thenStaysInvalid (0 ms)
2022-05-18T03:47:06.7300148Z [ RUN      ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenCopyAssigningToSelf_thenPointsToSameObject
2022-05-18T03:47:06.7300708Z [       OK ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenCopyAssigningToSelf_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7301257Z [ RUN      ] WeakIntrusivePtrTest.givenValidPtr_whenCopyAssigningToBaseClass_thenPointsToSameObject
2022-05-18T03:47:06.7301831Z [       OK ] WeakIntrusivePtrTest.givenValidPtr_whenCopyAssigningToBaseClass_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7302444Z [ RUN      ] WeakIntrusivePtrTest.givenValidPtr_whenCopyAssigningToBaseClass_thenOldInstanceInvalid
2022-05-18T03:47:06.7303008Z [       OK ] WeakIntrusivePtrTest.givenValidPtr_whenCopyAssigningToBaseClass_thenOldInstanceInvalid (0 ms)
2022-05-18T03:47:06.7303563Z [ RUN      ] WeakIntrusivePtrTest.givenInvalidPtr_whenCopyAssigningToBaseClass_thenNewInstanceIsValid
2022-05-18T03:47:06.7304145Z [       OK ] WeakIntrusivePtrTest.givenInvalidPtr_whenCopyAssigningToBaseClass_thenNewInstanceIsValid (0 ms)
2022-05-18T03:47:06.7304721Z [ RUN      ] WeakIntrusivePtrTest.givenInvalidPtr_whenCopyAssigningToBaseClass_thenPointsToSameObject
2022-05-18T03:47:06.7305389Z [       OK ] WeakIntrusivePtrTest.givenInvalidPtr_whenCopyAssigningToBaseClass_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7305970Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCopyAssigningInvalidPtrToBaseClass_thenNewInstanceIsInvalid
2022-05-18T03:47:06.7306581Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCopyAssigningInvalidPtrToBaseClass_thenNewInstanceIsInvalid (0 ms)
2022-05-18T03:47:06.7307176Z [ RUN      ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenCopyAssigningToBaseClass_thenNewInstanceIsValid
2022-05-18T03:47:06.7307763Z [       OK ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenCopyAssigningToBaseClass_thenNewInstanceIsValid (0 ms)
2022-05-18T03:47:06.7308333Z [ RUN      ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenCopyAssigningToBaseClass_thenPointsToSameObject
2022-05-18T03:47:06.7308918Z [       OK ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenCopyAssigningToBaseClass_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7309506Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCopyAssigningWeakOnlyPtrToBaseClass_thenNewInstanceIsValid
2022-05-18T03:47:06.7310149Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCopyAssigningWeakOnlyPtrToBaseClass_thenNewInstanceIsValid (0 ms)
2022-05-18T03:47:06.7311007Z [ RUN      ] WeakIntrusivePtrTest.givenNullPtr_whenCopyAssigningToDifferentNullptr_thenHasNewNullptr
2022-05-18T03:47:06.7311691Z [       OK ] WeakIntrusivePtrTest.givenNullPtr_whenCopyAssigningToDifferentNullptr_thenHasNewNullptr (0 ms)
2022-05-18T03:47:06.7312327Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenMoveConstructing_thenPointsToSameObject
2022-05-18T03:47:06.7312821Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenMoveConstructing_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7313318Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenMoveConstructing_thenOldInstanceInvalid
2022-05-18T03:47:06.7313819Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenMoveConstructing_thenOldInstanceInvalid (0 ms)
2022-05-18T03:47:06.7314309Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenMoveConstructing_thenNewInstanceValid
2022-05-18T03:47:06.7314788Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenMoveConstructing_thenNewInstanceValid (0 ms)
2022-05-18T03:47:06.7315382Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenMoveConstructingFromInvalidPtr_thenNewInstanceInvalid
2022-05-18T03:47:06.7315959Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenMoveConstructingFromInvalidPtr_thenNewInstanceInvalid (0 ms)
2022-05-18T03:47:06.7316533Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenMoveConstructingFromWeakOnlyPtr_thenNewInstanceInvalid
2022-05-18T03:47:06.7317100Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenMoveConstructingFromWeakOnlyPtr_thenNewInstanceInvalid (0 ms)
2022-05-18T03:47:06.7317662Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenMoveConstructingToBaseClass_thenPointsToSameObject
2022-05-18T03:47:06.7318226Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenMoveConstructingToBaseClass_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7318779Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenMoveConstructingToBaseClass_thenOldInstanceInvalid
2022-05-18T03:47:06.7319354Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenMoveConstructingToBaseClass_thenOldInstanceInvalid (0 ms)
2022-05-18T03:47:06.7319901Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenMoveConstructingToBaseClass_thenNewInstanceValid
2022-05-18T03:47:06.7320453Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenMoveConstructingToBaseClass_thenNewInstanceValid (0 ms)
2022-05-18T03:47:06.7321031Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenMoveConstructingToBaseClassFromInvalidPtr_thenNewInstanceInvalid
2022-05-18T03:47:06.7321676Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenMoveConstructingToBaseClassFromInvalidPtr_thenNewInstanceInvalid (0 ms)
2022-05-18T03:47:06.7322315Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenMoveConstructingToBaseClassFromWeakOnlyPtr_thenNewInstanceInvalid
2022-05-18T03:47:06.7323111Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenMoveConstructingToBaseClassFromWeakOnlyPtr_thenNewInstanceInvalid (0 ms)
2022-05-18T03:47:06.7323725Z [ RUN      ] WeakIntrusivePtrTest.givenNullPtr_whenMoveConstructingToDifferentNullptr_thenHasNewNullptr
2022-05-18T03:47:06.7324330Z [       OK ] WeakIntrusivePtrTest.givenNullPtr_whenMoveConstructingToDifferentNullptr_thenHasNewNullptr (0 ms)
2022-05-18T03:47:06.7324873Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructing_thenPointsToSameObject
2022-05-18T03:47:06.7325381Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructing_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7325864Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructing_thenOldInstanceValid
2022-05-18T03:47:06.7326363Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructing_thenOldInstanceValid (0 ms)
2022-05-18T03:47:06.7326858Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructing_thenNewInstanceValid
2022-05-18T03:47:06.7327350Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructing_thenNewInstanceValid (0 ms)
2022-05-18T03:47:06.7327877Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructingFromInvalidPtr_thenNewInstanceInvalid
2022-05-18T03:47:06.7328449Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructingFromInvalidPtr_thenNewInstanceInvalid (0 ms)
2022-05-18T03:47:06.7329022Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructingFromWeakOnlyPtr_thenNewInstanceInvalid
2022-05-18T03:47:06.7329600Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructingFromWeakOnlyPtr_thenNewInstanceInvalid (0 ms)
2022-05-18T03:47:06.7330145Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructingToBaseClass_thenPointsToSameObject
2022-05-18T03:47:06.7330698Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructingToBaseClass_thenPointsToSameObject (0 ms)
2022-05-18T03:47:06.7331247Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructingToBaseClass_thenOldInstanceInvalid
2022-05-18T03:47:06.7331856Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructingToBaseClass_thenOldInstanceInvalid (0 ms)
2022-05-18T03:47:06.7332410Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructingToBaseClass_thenNewInstanceInvalid
2022-05-18T03:47:06.7332966Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructingToBaseClass_thenNewInstanceInvalid (0 ms)
2022-05-18T03:47:06.7333569Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructingToBaseClassFromInvalidPtr_thenNewInstanceInvalid
2022-05-18T03:47:06.7334202Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructingToBaseClassFromInvalidPtr_thenNewInstanceInvalid (0 ms)
2022-05-18T03:47:06.7334851Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructingToBaseClassFromWeakOnlyPtr_thenNewInstanceInvalid
2022-05-18T03:47:06.7335497Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructingToBaseClassFromWeakOnlyPtr_thenNewInstanceInvalid (0 ms)
2022-05-18T03:47:06.7336154Z [ RUN      ] WeakIntrusivePtrTest.givenNullPtr_whenCopyConstructingToDifferentNullptr_thenHasNewNullptr
2022-05-18T03:47:06.7336747Z [       OK ] WeakIntrusivePtrTest.givenNullPtr_whenCopyConstructingToDifferentNullptr_thenHasNewNullptr (0 ms)
2022-05-18T03:47:06.7337207Z [ RUN      ] WeakIntrusivePtrTest.SwapFunction
2022-05-18T03:47:06.7337574Z [       OK ] WeakIntrusivePtrTest.SwapFunction (0 ms)
2022-05-18T03:47:06.7337928Z [ RUN      ] WeakIntrusivePtrTest.SwapMethod
2022-05-18T03:47:06.7338276Z [       OK ] WeakIntrusivePtrTest.SwapMethod (0 ms)
2022-05-18T03:47:06.7338673Z [ RUN      ] WeakIntrusivePtrTest.SwapFunctionFromInvalid
2022-05-18T03:47:06.7339110Z [       OK ] WeakIntrusivePtrTest.SwapFunctionFromInvalid (0 ms)
2022-05-18T03:47:06.7339520Z [ RUN      ] WeakIntrusivePtrTest.SwapMethodFromInvalid
2022-05-18T03:47:06.7339954Z [       OK ] WeakIntrusivePtrTest.SwapMethodFromInvalid (0 ms)
2022-05-18T03:47:06.7340378Z [ RUN      ] WeakIntrusivePtrTest.SwapFunctionWithInvalid
2022-05-18T03:47:06.7340804Z [       OK ] WeakIntrusivePtrTest.SwapFunctionWithInvalid (0 ms)
2022-05-18T03:47:06.7341224Z [ RUN      ] WeakIntrusivePtrTest.SwapMethodWithInvalid
2022-05-18T03:47:06.7341644Z [       OK ] WeakIntrusivePtrTest.SwapMethodWithInvalid (0 ms)
2022-05-18T03:47:06.7342096Z [ RUN      ] WeakIntrusivePtrTest.SwapFunctionInvalidWithInvalid
2022-05-18T03:47:06.7342568Z [       OK ] WeakIntrusivePtrTest.SwapFunctionInvalidWithInvalid (0 ms)
2022-05-18T03:47:06.7343040Z [ RUN      ] WeakIntrusivePtrTest.SwapMethodInvalidWithInvalid
2022-05-18T03:47:06.7343506Z [       OK ] WeakIntrusivePtrTest.SwapMethodInvalidWithInvalid (0 ms)
2022-05-18T03:47:06.7343954Z [ RUN      ] WeakIntrusivePtrTest.SwapFunctionFromWeakOnlyPtr
2022-05-18T03:47:06.7344424Z [       OK ] WeakIntrusivePtrTest.SwapFunctionFromWeakOnlyPtr (0 ms)
2022-05-18T03:47:06.7344877Z [ RUN      ] WeakIntrusivePtrTest.SwapMethodFromWeakOnlyPtr
2022-05-18T03:47:06.7345412Z [       OK ] WeakIntrusivePtrTest.SwapMethodFromWeakOnlyPtr (0 ms)
2022-05-18T03:47:06.7345860Z [ RUN      ] WeakIntrusivePtrTest.SwapFunctionWithWeakOnlyPtr
2022-05-18T03:47:06.7346327Z [       OK ] WeakIntrusivePtrTest.SwapFunctionWithWeakOnlyPtr (0 ms)
2022-05-18T03:47:06.7346780Z [ RUN      ] WeakIntrusivePtrTest.SwapMethodWithWeakOnlyPtr
2022-05-18T03:47:06.7347219Z [       OK ] WeakIntrusivePtrTest.SwapMethodWithWeakOnlyPtr (0 ms)
2022-05-18T03:47:06.7347718Z [ RUN      ] WeakIntrusivePtrTest.SwapFunctionWeakOnlyPtrWithWeakOnlyPtr
2022-05-18T03:47:06.7348276Z [       OK ] WeakIntrusivePtrTest.SwapFunctionWeakOnlyPtrWithWeakOnlyPtr (0 ms)
2022-05-18T03:47:06.7348807Z [ RUN      ] WeakIntrusivePtrTest.SwapMethodWeakOnlyPtrWithWeakOnlyPtr
2022-05-18T03:47:06.7349367Z [       OK ] WeakIntrusivePtrTest.SwapMethodWeakOnlyPtrWithWeakOnlyPtr (0 ms)
2022-05-18T03:47:06.7349828Z [ RUN      ] WeakIntrusivePtrTest.CanBePutInContainer
2022-05-18T03:47:06.7350241Z [       OK ] WeakIntrusivePtrTest.CanBePutInContainer (0 ms)
2022-05-18T03:47:06.7350612Z [ RUN      ] WeakIntrusivePtrTest.CanBePutInSet
2022-05-18T03:47:06.7350985Z [       OK ] WeakIntrusivePtrTest.CanBePutInSet (0 ms)
2022-05-18T03:47:06.7351387Z [ RUN      ] WeakIntrusivePtrTest.CanBePutInUnorderedSet
2022-05-18T03:47:06.7351804Z [       OK ] WeakIntrusivePtrTest.CanBePutInUnorderedSet (0 ms)
2022-05-18T03:47:06.7352201Z [ RUN      ] WeakIntrusivePtrTest.CanBePutInMap
2022-05-18T03:47:06.7352573Z [       OK ] WeakIntrusivePtrTest.CanBePutInMap (0 ms)
2022-05-18T03:47:06.7352971Z [ RUN      ] WeakIntrusivePtrTest.CanBePutInUnorderedMap
2022-05-18T03:47:06.7353387Z [       OK ] WeakIntrusivePtrTest.CanBePutInUnorderedMap (0 ms)
2022-05-18T03:47:06.7353849Z [ RUN      ] WeakIntrusivePtrTest.Equality_AfterCopyConstructor
2022-05-18T03:47:06.7354281Z [       OK ] WeakIntrusivePtrTest.Equality_AfterCopyConstructor (0 ms)
2022-05-18T03:47:06.7354682Z [ RUN      ] WeakIntrusivePtrTest.Equality_AfterCopyAssignment
2022-05-18T03:47:06.7355098Z [       OK ] WeakIntrusivePtrTest.Equality_AfterCopyAssignment (0 ms)
2022-05-18T03:47:06.7355525Z [ RUN      ] WeakIntrusivePtrTest.Equality_AfterCopyAssignment_WeakOnly
2022-05-18T03:47:06.7355967Z [       OK ] WeakIntrusivePtrTest.Equality_AfterCopyAssignment_WeakOnly (0 ms)
2022-05-18T03:47:06.7356356Z [ RUN      ] WeakIntrusivePtrTest.Equality_Invalid
2022-05-18T03:47:06.7356725Z [       OK ] WeakIntrusivePtrTest.Equality_Invalid (0 ms)
2022-05-18T03:47:06.7357080Z [ RUN      ] WeakIntrusivePtrTest.Inequality
2022-05-18T03:47:06.7357425Z [       OK ] WeakIntrusivePtrTest.Inequality (0 ms)
2022-05-18T03:47:06.7357801Z [ RUN      ] WeakIntrusivePtrTest.Inequality_InvalidLeft
2022-05-18T03:47:06.7358204Z [       OK ] WeakIntrusivePtrTest.Inequality_InvalidLeft (0 ms)
2022-05-18T03:47:06.7358585Z [ RUN      ] WeakIntrusivePtrTest.Inequality_InvalidRight
2022-05-18T03:47:06.7358986Z [       OK ] WeakIntrusivePtrTest.Inequality_InvalidRight (0 ms)
2022-05-18T03:47:06.7359367Z [ RUN      ] WeakIntrusivePtrTest.Inequality_WeakOnly
2022-05-18T03:47:06.7359751Z [       OK ] WeakIntrusivePtrTest.Inequality_WeakOnly (0 ms)
2022-05-18T03:47:06.7360115Z [ RUN      ] WeakIntrusivePtrTest.HashIsDifferent
2022-05-18T03:47:06.7360503Z [       OK ] WeakIntrusivePtrTest.HashIsDifferent (0 ms)
2022-05-18T03:47:06.7360917Z [ RUN      ] WeakIntrusivePtrTest.HashIsDifferent_ValidAndInvalid
2022-05-18T03:47:06.7361345Z [       OK ] WeakIntrusivePtrTest.HashIsDifferent_ValidAndInvalid (0 ms)
2022-05-18T03:47:06.7361789Z [ RUN      ] WeakIntrusivePtrTest.HashIsDifferent_ValidAndWeakOnly
2022-05-18T03:47:06.7362239Z [       OK ] WeakIntrusivePtrTest.HashIsDifferent_ValidAndWeakOnly (0 ms)
2022-05-18T03:47:06.7362686Z [ RUN      ] WeakIntrusivePtrTest.HashIsDifferent_WeakOnlyAndWeakOnly
2022-05-18T03:47:06.7363299Z [       OK ] WeakIntrusivePtrTest.HashIsDifferent_WeakOnlyAndWeakOnly (0 ms)
2022-05-18T03:47:06.7363740Z [ RUN      ] WeakIntrusivePtrTest.HashIsSame_AfterCopyConstructor
2022-05-18T03:47:06.7364174Z [       OK ] WeakIntrusivePtrTest.HashIsSame_AfterCopyConstructor (0 ms)
2022-05-18T03:47:06.7364609Z [ RUN      ] WeakIntrusivePtrTest.HashIsSame_AfterCopyConstructor_WeakOnly
2022-05-18T03:47:06.7365077Z [       OK ] WeakIntrusivePtrTest.HashIsSame_AfterCopyConstructor_WeakOnly (0 ms)
2022-05-18T03:47:06.7365517Z [ RUN      ] WeakIntrusivePtrTest.HashIsSame_AfterCopyAssignment
2022-05-18T03:47:06.7366025Z [       OK ] WeakIntrusivePtrTest.HashIsSame_AfterCopyAssignment (0 ms)
2022-05-18T03:47:06.7366459Z [ RUN      ] WeakIntrusivePtrTest.HashIsSame_AfterCopyAssignment_WeakOnly
2022-05-18T03:47:06.7366917Z [       OK ] WeakIntrusivePtrTest.HashIsSame_AfterCopyAssignment_WeakOnly (0 ms)
2022-05-18T03:47:06.7367332Z [ RUN      ] WeakIntrusivePtrTest.HashIsSame_BothInvalid
2022-05-18T03:47:06.7367713Z [       OK ] WeakIntrusivePtrTest.HashIsSame_BothInvalid (0 ms)
2022-05-18T03:47:06.7368080Z [ RUN      ] WeakIntrusivePtrTest.OneIsLess
2022-05-18T03:47:06.7368435Z [       OK ] WeakIntrusivePtrTest.OneIsLess (0 ms)
2022-05-18T03:47:06.7368802Z [ RUN      ] WeakIntrusivePtrTest.InvalidIsLess1
2022-05-18T03:47:06.7369167Z [       OK ] WeakIntrusivePtrTest.InvalidIsLess1 (0 ms)
2022-05-18T03:47:06.7369544Z [ RUN      ] WeakIntrusivePtrTest.InvalidIsLess2
2022-05-18T03:47:06.7369922Z [       OK ] WeakIntrusivePtrTest.InvalidIsLess2 (0 ms)
2022-05-18T03:47:06.7370370Z [ RUN      ] WeakIntrusivePtrTest.InvalidIsNotLessThanInvalid
2022-05-18T03:47:06.7370831Z [       OK ] WeakIntrusivePtrTest.InvalidIsNotLessThanInvalid (0 ms)
2022-05-18T03:47:06.7371310Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCallingResetOnWeakPtr_thenIsInvalid
2022-05-18T03:47:06.7371790Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCallingResetOnWeakPtr_thenIsInvalid (0 ms)
2022-05-18T03:47:06.7372284Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCallingResetOnStrongPtr_thenIsInvalid
2022-05-18T03:47:06.7372783Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCallingResetOnStrongPtr_thenIsInvalid (0 ms)
2022-05-18T03:47:06.7373260Z [ RUN      ] WeakIntrusivePtrTest.AllowsMoveConstructingToConst
2022-05-18T03:47:06.7373721Z [       OK ] WeakIntrusivePtrTest.AllowsMoveConstructingToConst (0 ms)
2022-05-18T03:47:06.7374194Z [ RUN      ] WeakIntrusivePtrTest.AllowsCopyConstructingToConst
2022-05-18T03:47:06.7374669Z [       OK ] WeakIntrusivePtrTest.AllowsCopyConstructingToConst (0 ms)
2022-05-18T03:47:06.7375115Z [ RUN      ] WeakIntrusivePtrTest.AllowsMoveAssigningToConst
2022-05-18T03:47:06.7375570Z [       OK ] WeakIntrusivePtrTest.AllowsMoveAssigningToConst (0 ms)
2022-05-18T03:47:06.7376017Z [ RUN      ] WeakIntrusivePtrTest.AllowsCopyAssigningToConst
2022-05-18T03:47:06.7376466Z [       OK ] WeakIntrusivePtrTest.AllowsCopyAssigningToConst (0 ms)
2022-05-18T03:47:06.7376887Z [ RUN      ] WeakIntrusivePtrTest.givenNewPtr_thenHasUseCount1
2022-05-18T03:47:06.7377309Z [       OK ] WeakIntrusivePtrTest.givenNewPtr_thenHasUseCount1 (0 ms)
2022-05-18T03:47:06.7377723Z [ RUN      ] WeakIntrusivePtrTest.givenNewPtr_thenIsNotExpired
2022-05-18T03:47:06.7378130Z [       OK ] WeakIntrusivePtrTest.givenNewPtr_thenIsNotExpired (0 ms)
2022-05-18T03:47:06.7378556Z [ RUN      ] WeakIntrusivePtrTest.givenInvalidPtr_thenHasUseCount0
2022-05-18T03:47:06.7379005Z [       OK ] WeakIntrusivePtrTest.givenInvalidPtr_thenHasUseCount0 (0 ms)
2022-05-18T03:47:06.7379435Z [ RUN      ] WeakIntrusivePtrTest.givenInvalidPtr_thenIsExpired
2022-05-18T03:47:06.7379853Z [       OK ] WeakIntrusivePtrTest.givenInvalidPtr_thenIsExpired (0 ms)
2022-05-18T03:47:06.7380289Z [ RUN      ] WeakIntrusivePtrTest.givenWeakOnlyPtr_thenHasUseCount0
2022-05-18T03:47:06.7380740Z [       OK ] WeakIntrusivePtrTest.givenWeakOnlyPtr_thenHasUseCount0 (0 ms)
2022-05-18T03:47:06.7381166Z [ RUN      ] WeakIntrusivePtrTest.givenWeakOnlyPtr_thenIsExpired
2022-05-18T03:47:06.7381603Z [       OK ] WeakIntrusivePtrTest.givenWeakOnlyPtr_thenIsExpired (0 ms)
2022-05-18T03:47:06.7382060Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCallingWeakReset_thenHasUseCount0
2022-05-18T03:47:06.7382589Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCallingWeakReset_thenHasUseCount0 (0 ms)
2022-05-18T03:47:06.7383044Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCallingWeakReset_thenIsExpired
2022-05-18T03:47:06.7383510Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCallingWeakReset_thenIsExpired (0 ms)
2022-05-18T03:47:06.7383984Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCallingStrongReset_thenHasUseCount0
2022-05-18T03:47:06.7384457Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCallingStrongReset_thenHasUseCount0 (0 ms)
2022-05-18T03:47:06.7384926Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCallingStrongReset_thenIsExpired
2022-05-18T03:47:06.7385481Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCallingStrongReset_thenIsExpired (0 ms)
2022-05-18T03:47:06.7385967Z [ RUN      ] WeakIntrusivePtrTest.givenMoveConstructedPtr_thenHasUseCount1
2022-05-18T03:47:06.7386447Z [       OK ] WeakIntrusivePtrTest.givenMoveConstructedPtr_thenHasUseCount1 (0 ms)
2022-05-18T03:47:06.7386998Z [ RUN      ] WeakIntrusivePtrTest.givenMoveConstructedPtr_thenIsNotExpired
2022-05-18T03:47:06.7387497Z [       OK ] WeakIntrusivePtrTest.givenMoveConstructedPtr_thenIsNotExpired (0 ms)
2022-05-18T03:47:06.7387993Z [ RUN      ] WeakIntrusivePtrTest.givenMoveConstructedPtr_thenOldHasUseCount0
2022-05-18T03:47:06.7388482Z [       OK ] WeakIntrusivePtrTest.givenMoveConstructedPtr_thenOldHasUseCount0 (0 ms)
2022-05-18T03:47:06.7388970Z [ RUN      ] WeakIntrusivePtrTest.givenMoveConstructedPtr_thenOldIsExpired
2022-05-18T03:47:06.7389464Z [       OK ] WeakIntrusivePtrTest.givenMoveConstructedPtr_thenOldIsExpired (0 ms)
2022-05-18T03:47:06.7389929Z [ RUN      ] WeakIntrusivePtrTest.givenMoveAssignedPtr_thenHasUseCount1
2022-05-18T03:47:06.7390403Z [       OK ] WeakIntrusivePtrTest.givenMoveAssignedPtr_thenHasUseCount1 (0 ms)
2022-05-18T03:47:06.7390877Z [ RUN      ] WeakIntrusivePtrTest.givenMoveAssignedPtr_thenIsNotExpired
2022-05-18T03:47:06.7391357Z [       OK ] WeakIntrusivePtrTest.givenMoveAssignedPtr_thenIsNotExpired (0 ms)
2022-05-18T03:47:06.7391818Z [ RUN      ] WeakIntrusivePtrTest.givenMoveAssignedPtr_thenOldHasUseCount0
2022-05-18T03:47:06.7392300Z [       OK ] WeakIntrusivePtrTest.givenMoveAssignedPtr_thenOldHasUseCount0 (0 ms)
2022-05-18T03:47:06.7392771Z [ RUN      ] WeakIntrusivePtrTest.givenMoveAssignedPtr_thenOldIsExpired
2022-05-18T03:47:06.7393225Z [       OK ] WeakIntrusivePtrTest.givenMoveAssignedPtr_thenOldIsExpired (0 ms)
2022-05-18T03:47:06.7393702Z [ RUN      ] WeakIntrusivePtrTest.givenCopyConstructedPtr_thenHasUseCount1
2022-05-18T03:47:06.7394197Z [       OK ] WeakIntrusivePtrTest.givenCopyConstructedPtr_thenHasUseCount1 (0 ms)
2022-05-18T03:47:06.7394684Z [ RUN      ] WeakIntrusivePtrTest.givenCopyConstructedPtr_thenIsNotExpired
2022-05-18T03:47:06.7395170Z [       OK ] WeakIntrusivePtrTest.givenCopyConstructedPtr_thenIsNotExpired (0 ms)
2022-05-18T03:47:06.7395664Z [ RUN      ] WeakIntrusivePtrTest.givenCopyConstructedPtr_thenOldHasUseCount1
2022-05-18T03:47:06.7396167Z [       OK ] WeakIntrusivePtrTest.givenCopyConstructedPtr_thenOldHasUseCount1 (0 ms)
2022-05-18T03:47:06.7396650Z [ RUN      ] WeakIntrusivePtrTest.givenCopyConstructedPtr_thenOldIsNotExpired
2022-05-18T03:47:06.7397151Z [       OK ] WeakIntrusivePtrTest.givenCopyConstructedPtr_thenOldIsNotExpired (0 ms)
2022-05-18T03:47:06.7397667Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenLastStrongPointerResets_thenReleasesResources
2022-05-18T03:47:06.7398198Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenLastStrongPointerResets_thenReleasesResources (0 ms)
2022-05-18T03:47:06.7398766Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenDestructedButStillHasStrongPointers_thenDoesntReleaseResources
2022-05-18T03:47:06.7399444Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenDestructedButStillHasStrongPointers_thenDoesntReleaseResources (0 ms)
2022-05-18T03:47:06.7399974Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenDestructed_thenDestructsObject
2022-05-18T03:47:06.7400438Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenDestructed_thenDestructsObject (0 ms)
2022-05-18T03:47:06.7400956Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenMoveConstructed_thenDestructsObjectAfterSecondDestructed
2022-05-18T03:47:06.7401552Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenMoveConstructed_thenDestructsObjectAfterSecondDestructed (0 ms)
2022-05-18T03:47:06.7402184Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenMoveConstructedToBaseClass_thenDestructsObjectAfterSecondDestructed
2022-05-18T03:47:06.7402832Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenMoveConstructedToBaseClass_thenDestructsObjectAfterSecondDestructed (0 ms)
2022-05-18T03:47:06.7403545Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenMoveAssigned_thenDestructsOldObject
2022-05-18T03:47:06.7404106Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenMoveAssigned_thenDestructsOldObject (0 ms)
2022-05-18T03:47:06.7404619Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenMoveAssignedToBaseClass_thenDestructsOldObject
2022-05-18T03:47:06.7405143Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenMoveAssignedToBaseClass_thenDestructsOldObject (0 ms)
2022-05-18T03:47:06.7405739Z [ RUN      ] WeakIntrusivePtrTest.givenPtrWithCopy_whenMoveAssigned_thenDestructsOldObjectAfterCopyIsDestructed
2022-05-18T03:47:06.7406390Z [       OK ] WeakIntrusivePtrTest.givenPtrWithCopy_whenMoveAssigned_thenDestructsOldObjectAfterCopyIsDestructed (0 ms)
2022-05-18T03:47:06.7407064Z [ RUN      ] WeakIntrusivePtrTest.givenPtrWithBaseClassCopy_whenMoveAssigned_thenDestructsOldObjectAfterCopyIsDestructed
2022-05-18T03:47:06.7407758Z [       OK ] WeakIntrusivePtrTest.givenPtrWithBaseClassCopy_whenMoveAssigned_thenDestructsOldObjectAfterCopyIsDestructed (0 ms)
2022-05-18T03:47:06.7408461Z [ RUN      ] WeakIntrusivePtrTest.givenPtrWithCopy_whenMoveAssignedToBaseClass_thenDestructsOldObjectAfterCopyIsDestructed
2022-05-18T03:47:06.7409156Z [       OK ] WeakIntrusivePtrTest.givenPtrWithCopy_whenMoveAssignedToBaseClass_thenDestructsOldObjectAfterCopyIsDestructed (0 ms)
2022-05-18T03:47:06.7409782Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenMoveAssigned_thenDestructsObjectAfterSecondDestructed
2022-05-18T03:47:06.7410346Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenMoveAssigned_thenDestructsObjectAfterSecondDestructed (0 ms)
2022-05-18T03:47:06.7410956Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenMoveAssignedToBaseClass_thenDestructsObjectAfterSecondDestructed
2022-05-18T03:47:06.7411580Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenMoveAssignedToBaseClass_thenDestructsObjectAfterSecondDestructed (0 ms)
2022-05-18T03:47:06.7412226Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructedAndDestructed_thenDestructsObjectAfterLastDestruction
2022-05-18T03:47:06.7412864Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructedAndDestructed_thenDestructsObjectAfterLastDestruction (0 ms)
2022-05-18T03:47:06.7413546Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructedToBaseClassAndDestructed_thenDestructsObjectAfterLastDestruction
2022-05-18T03:47:06.7414262Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructedToBaseClassAndDestructed_thenDestructsObjectAfterLastDestruction (0 ms)
2022-05-18T03:47:06.7414964Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructedAndOriginalDestructed_thenDestructsObjectAfterLastDestruction
2022-05-18T03:47:06.7415650Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructedAndOriginalDestructed_thenDestructsObjectAfterLastDestruction (0 ms)
2022-05-18T03:47:06.7416453Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructedToBaseClassAndOriginalDestructed_thenDestructsObjectAfterLastDestruction
2022-05-18T03:47:06.7417224Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCopyConstructedToBaseClassAndOriginalDestructed_thenDestructsObjectAfterLastDestruction (0 ms)
2022-05-18T03:47:06.7417920Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCopyAssignedAndDestructed_thenDestructsObjectAfterLastDestruction
2022-05-18T03:47:06.7418539Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCopyAssignedAndDestructed_thenDestructsObjectAfterLastDestruction (0 ms)
2022-05-18T03:47:06.7419197Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCopyAssignedToBaseClassAndDestructed_thenDestructsObjectAfterLastDestruction
2022-05-18T03:47:06.7419892Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCopyAssignedToBaseClassAndDestructed_thenDestructsObjectAfterLastDestruction (0 ms)
2022-05-18T03:47:06.7420574Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCopyAssignedAndOriginalDestructed_thenDestructsObjectAfterLastDestruction
2022-05-18T03:47:06.7421323Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCopyAssignedAndOriginalDestructed_thenDestructsObjectAfterLastDestruction (0 ms)
2022-05-18T03:47:06.7422024Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCopyAssignedToBaseClassAndOriginalDestructed_thenDestructsObjectAfterLastDestruction
2022-05-18T03:47:06.7422770Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCopyAssignedToBaseClassAndOriginalDestructed_thenDestructsObjectAfterLastDestruction (0 ms)
2022-05-18T03:47:06.7423365Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCopyAssigned_thenDestructsOldObject
2022-05-18T03:47:06.7423836Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCopyAssigned_thenDestructsOldObject (0 ms)
2022-05-18T03:47:06.7424343Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCopyAssignedToBaseClass_thenDestructsOldObject
2022-05-18T03:47:06.7424886Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCopyAssignedToBaseClass_thenDestructsOldObject (0 ms)
2022-05-18T03:47:06.7425558Z [ RUN      ] WeakIntrusivePtrTest.givenPtrWithCopy_whenCopyAssigned_thenDestructsOldObjectAfterCopyIsDestructed
2022-05-18T03:47:06.7426195Z [       OK ] WeakIntrusivePtrTest.givenPtrWithCopy_whenCopyAssigned_thenDestructsOldObjectAfterCopyIsDestructed (0 ms)
2022-05-18T03:47:06.7426866Z [ RUN      ] WeakIntrusivePtrTest.givenPtrWithBaseClassCopy_whenCopyAssigned_thenDestructsOldObjectAfterCopyIsDestructed
2022-05-18T03:47:06.7427582Z [       OK ] WeakIntrusivePtrTest.givenPtrWithBaseClassCopy_whenCopyAssigned_thenDestructsOldObjectAfterCopyIsDestructed (0 ms)
2022-05-18T03:47:06.7428279Z [ RUN      ] WeakIntrusivePtrTest.givenPtrWithCopy_whenCopyAssignedToBaseClass_thenDestructsOldObjectAfterCopyIsDestructed
2022-05-18T03:47:06.7428960Z [       OK ] WeakIntrusivePtrTest.givenPtrWithCopy_whenCopyAssignedToBaseClass_thenDestructsOldObjectAfterCopyIsDestructed (0 ms)
2022-05-18T03:47:06.7429519Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenCallingReset_thenDestructs
2022-05-18T03:47:06.7429969Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenCallingReset_thenDestructs (0 ms)
2022-05-18T03:47:06.7430489Z [ RUN      ] WeakIntrusivePtrTest.givenPtrWithCopy_whenCallingReset_thenDestructsAfterCopyDestructed
2022-05-18T03:47:06.7431055Z [       OK ] WeakIntrusivePtrTest.givenPtrWithCopy_whenCallingReset_thenDestructsAfterCopyDestructed (0 ms)
2022-05-18T03:47:06.7431656Z [ RUN      ] WeakIntrusivePtrTest.givenPtrWithCopy_whenCallingResetOnCopy_thenDestructsAfterOriginalDestructed
2022-05-18T03:47:06.7432287Z [       OK ] WeakIntrusivePtrTest.givenPtrWithCopy_whenCallingResetOnCopy_thenDestructsAfterOriginalDestructed (0 ms)
2022-05-18T03:47:06.7432888Z [ RUN      ] WeakIntrusivePtrTest.givenPtrWithMoved_whenCallingReset_thenDestructsAfterMovedDestructed
2022-05-18T03:47:06.7433512Z [       OK ] WeakIntrusivePtrTest.givenPtrWithMoved_whenCallingReset_thenDestructsAfterMovedDestructed (0 ms)
2022-05-18T03:47:06.7434089Z [ RUN      ] WeakIntrusivePtrTest.givenPtrWithMoved_whenCallingResetOnMoved_thenDestructsImmediately
2022-05-18T03:47:06.7434663Z [       OK ] WeakIntrusivePtrTest.givenPtrWithMoved_whenCallingResetOnMoved_thenDestructsImmediately (0 ms)
2022-05-18T03:47:06.7435183Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenReleasedAndReclaimed_thenDoesntCrash
2022-05-18T03:47:06.7435662Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenReleasedAndReclaimed_thenDoesntCrash (0 ms)
2022-05-18T03:47:06.7436173Z [ RUN      ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenReleasedAndReclaimed_thenDoesntCrash
2022-05-18T03:47:06.7436710Z [       OK ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenReleasedAndReclaimed_thenDoesntCrash (0 ms)
2022-05-18T03:47:06.7437221Z [ RUN      ] WeakIntrusivePtrTest.givenPtr_whenReleasedAndReclaimed_thenIsDestructedAtEnd
2022-05-18T03:47:06.7437773Z [       OK ] WeakIntrusivePtrTest.givenPtr_whenReleasedAndReclaimed_thenIsDestructedAtEnd (0 ms)
2022-05-18T03:47:06.7438314Z [ RUN      ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenReleasedAndReclaimed_thenIsDestructedAtEnd
2022-05-18T03:47:06.7438877Z [       OK ] WeakIntrusivePtrTest.givenWeakOnlyPtr_whenReleasedAndReclaimed_thenIsDestructedAtEnd (0 ms)
2022-05-18T03:47:06.7439370Z [ RUN      ] WeakIntrusivePtrTest.givenStackObject_whenReclaimed_thenCrashes
2022-05-18T03:47:06.7439845Z [       OK ] WeakIntrusivePtrTest.givenStackObject_whenReclaimed_thenCrashes (0 ms)
2022-05-18T03:47:06.7440275Z [----------] 171 tests from WeakIntrusivePtrTest (2 ms total)
2022-05-18T03:47:06.7440458Z 
2022-05-18T03:47:06.7440635Z [----------] Global test environment tear-down
2022-05-18T03:47:06.7441105Z [==========] 322 tests from 4 test suites ran. (4 ms total)
2022-05-18T03:47:06.7441382Z [  PASSED  ] 322 tests.
2022-05-18T03:47:06.7441677Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:06.7441906Z + case "$test" in
2022-05-18T03:47:06.7442238Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_irange_test
2022-05-18T03:47:06.7442606Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:06.7443281Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_irange_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_irange_test.xml
2022-05-18T03:47:06.7443722Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:06.7444095Z [==========] Running 5 tests from 2 test suites.
2022-05-18T03:47:06.7444396Z [----------] Global test environment set-up.
2022-05-18T03:47:06.7444701Z [----------] 3 tests from irange_test
2022-05-18T03:47:06.7444993Z [ RUN      ] irange_test.range_test
2022-05-18T03:47:06.7445269Z [       OK ] irange_test.range_test (0 ms)
2022-05-18T03:47:06.7445552Z [ RUN      ] irange_test.end_test
2022-05-18T03:47:06.7445839Z [       OK ] irange_test.end_test (0 ms)
2022-05-18T03:47:06.7446112Z [ RUN      ] irange_test.neg_range_test
2022-05-18T03:47:06.7446411Z [       OK ] irange_test.neg_range_test (0 ms)
2022-05-18T03:47:06.7446734Z [----------] 3 tests from irange_test (0 ms total)
2022-05-18T03:47:06.7446890Z 
2022-05-18T03:47:06.7447018Z [----------] 2 tests from irange
2022-05-18T03:47:06.7447330Z [ RUN      ] irange.empty_reverse_range_two_inputs
2022-05-18T03:47:06.7447666Z [       OK ] irange.empty_reverse_range_two_inputs (0 ms)
2022-05-18T03:47:06.7447997Z [ RUN      ] irange.empty_reverse_range_one_input
2022-05-18T03:47:06.7448317Z [       OK ] irange.empty_reverse_range_one_input (0 ms)
2022-05-18T03:47:06.7448727Z [----------] 2 tests from irange (0 ms total)
2022-05-18T03:47:06.7448877Z 
2022-05-18T03:47:06.7449056Z [----------] Global test environment tear-down
2022-05-18T03:47:06.7449372Z [==========] 5 tests from 2 test suites ran. (0 ms total)
2022-05-18T03:47:06.7449640Z [  PASSED  ] 5 tests.
2022-05-18T03:47:06.7449940Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:06.7450155Z + case "$test" in
2022-05-18T03:47:06.7450485Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_logging_test
2022-05-18T03:47:06.7450870Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:06.7451399Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_logging_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_logging_test.xml
2022-05-18T03:47:06.7451822Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:06.7452189Z [==========] Running 10 tests from 2 test suites.
2022-05-18T03:47:06.7452548Z [----------] Global test environment set-up.
2022-05-18T03:47:06.7452849Z [----------] 1 test from LoggingDeathTest
2022-05-18T03:47:06.7453199Z [ RUN      ] LoggingDeathTest.TestEnforceUsingFatal
2022-05-18T03:47:06.7453592Z [       OK ] LoggingDeathTest.TestEnforceUsingFatal (1 ms)
2022-05-18T03:47:06.7453969Z [----------] 1 test from LoggingDeathTest (1 ms total)
2022-05-18T03:47:06.7454120Z 
2022-05-18T03:47:06.7454272Z [----------] 9 tests from LoggingTest
2022-05-18T03:47:06.7454576Z [ RUN      ] LoggingTest.TestEnforceTrue
2022-05-18T03:47:06.7454911Z [       OK ] LoggingTest.TestEnforceTrue (0 ms)
2022-05-18T03:47:06.7455226Z [ RUN      ] LoggingTest.TestEnforceFalse
2022-05-18T03:47:06.7455562Z [       OK ] LoggingTest.TestEnforceFalse (0 ms)
2022-05-18T03:47:06.7455894Z [ RUN      ] LoggingTest.TestEnforceEquals
2022-05-18T03:47:06.7456221Z [       OK ] LoggingTest.TestEnforceEquals (0 ms)
2022-05-18T03:47:06.7456589Z [ RUN      ] LoggingTest.TestEnforceMessageVariables
2022-05-18T03:47:06.7456989Z [       OK ] LoggingTest.TestEnforceMessageVariables (0 ms)
2022-05-18T03:47:06.7457535Z [ RUN      ] LoggingTest.EnforceEqualsObjectWithReferenceToTemporaryWithoutUseOutOfScope
2022-05-18T03:47:06.7458200Z [       OK ] LoggingTest.EnforceEqualsObjectWithReferenceToTemporaryWithoutUseOutOfScope (0 ms)
2022-05-18T03:47:06.7458717Z [ RUN      ] LoggingTest.DoesntCopyComparedObjects
2022-05-18T03:47:06.7459106Z [       OK ] LoggingTest.DoesntCopyComparedObjects (0 ms)
2022-05-18T03:47:06.7459446Z [ RUN      ] LoggingTest.EnforceShowcase
2022-05-18T03:47:06.7459775Z [       OK ] LoggingTest.EnforceShowcase (0 ms)
2022-05-18T03:47:06.7460069Z [ RUN      ] LoggingTest.Join
2022-05-18T03:47:06.7460335Z [       OK ] LoggingTest.Join (0 ms)
2022-05-18T03:47:06.7460642Z [ RUN      ] LoggingTest.TestDanglingElse
2022-05-18T03:47:06.7460979Z [       OK ] LoggingTest.TestDanglingElse (0 ms)
2022-05-18T03:47:06.7461319Z [----------] 9 tests from LoggingTest (1 ms total)
2022-05-18T03:47:06.7461462Z 
2022-05-18T03:47:06.7461638Z [----------] Global test environment tear-down
2022-05-18T03:47:06.7461970Z [==========] 10 tests from 2 test suites ran. (2 ms total)
2022-05-18T03:47:06.7462239Z [  PASSED  ] 10 tests.
2022-05-18T03:47:06.7462523Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:06.7462749Z + case "$test" in
2022-05-18T03:47:06.7463080Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_optional_test
2022-05-18T03:47:06.7463455Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:06.7463987Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_optional_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_optional_test.xml
2022-05-18T03:47:06.7464465Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:06.7464833Z [==========] Running 16 tests from 12 test suites.
2022-05-18T03:47:06.7465130Z [----------] Global test environment set-up.
2022-05-18T03:47:06.7465570Z [----------] 2 tests from OptionalTest/0, where TypeParam = bool
2022-05-18T03:47:06.7465896Z [ RUN      ] OptionalTest/0.Empty
2022-05-18T03:47:06.7466173Z [       OK ] OptionalTest/0.Empty (0 ms)
2022-05-18T03:47:06.7466468Z [ RUN      ] OptionalTest/0.Initialized
2022-05-18T03:47:06.7466778Z [       OK ] OptionalTest/0.Initialized (0 ms)
2022-05-18T03:47:06.7467112Z [----------] 2 tests from OptionalTest/0 (0 ms total)
2022-05-18T03:47:06.7467258Z 
2022-05-18T03:47:06.7467486Z [----------] 2 tests from OptionalTest/1, where TypeParam = unsigned long
2022-05-18T03:47:06.7467819Z [ RUN      ] OptionalTest/1.Empty
2022-05-18T03:47:06.7468142Z [       OK ] OptionalTest/1.Empty (0 ms)
2022-05-18T03:47:06.7468422Z [ RUN      ] OptionalTest/1.Initialized
2022-05-18T03:47:06.7468729Z [       OK ] OptionalTest/1.Initialized (0 ms)
2022-05-18T03:47:06.7469058Z [----------] 2 tests from OptionalTest/1 (0 ms total)
2022-05-18T03:47:06.7469218Z 
2022-05-18T03:47:06.7469602Z [----------] 2 tests from OptionalTest/2, where TypeParam = c10::ArrayRef<long>
2022-05-18T03:47:06.7469925Z [ RUN      ] OptionalTest/2.Empty
2022-05-18T03:47:06.7470211Z [       OK ] OptionalTest/2.Empty (0 ms)
2022-05-18T03:47:06.7470504Z [ RUN      ] OptionalTest/2.Initialized
2022-05-18T03:47:06.7470797Z [       OK ] OptionalTest/2.Initialized (0 ms)
2022-05-18T03:47:06.7471127Z [----------] 2 tests from OptionalTest/2 (0 ms total)
2022-05-18T03:47:06.7471290Z 
2022-05-18T03:47:06.7471657Z [----------] 2 tests from OptionalTest/3, where TypeParam = std::basic_string<char, std::char_traits<char>, std::allocator<char> >
2022-05-18T03:47:06.7472041Z [ RUN      ] OptionalTest/3.Empty
2022-05-18T03:47:06.7472317Z [       OK ] OptionalTest/3.Empty (0 ms)
2022-05-18T03:47:06.7472609Z [ RUN      ] OptionalTest/3.Initialized
2022-05-18T03:47:06.7472918Z [       OK ] OptionalTest/3.Initialized (0 ms)
2022-05-18T03:47:06.7473235Z [----------] 2 tests from OptionalTest/3 (0 ms total)
2022-05-18T03:47:06.7473395Z 
2022-05-18T03:47:06.7473548Z [----------] 1 test from OptionalTest
2022-05-18T03:47:06.7473832Z [ RUN      ] OptionalTest.Nullopt
2022-05-18T03:47:06.7474118Z [       OK ] OptionalTest.Nullopt (0 ms)
2022-05-18T03:47:06.7474445Z [----------] 1 test from OptionalTest (0 ms total)
2022-05-18T03:47:06.7474602Z 
2022-05-18T03:47:06.7474919Z [----------] 1 test from CmpTest/0, where TypeParam = std::pair<c10::optional<int>, c10::optional<int> >
2022-05-18T03:47:06.7475262Z [ RUN      ] CmpTest/0.Cmp
2022-05-18T03:47:06.7475516Z [       OK ] CmpTest/0.Cmp (0 ms)
2022-05-18T03:47:06.7475814Z [----------] 1 test from CmpTest/0 (0 ms total)
2022-05-18T03:47:06.7475963Z 
2022-05-18T03:47:06.7476250Z [----------] 1 test from CmpTest/1, where TypeParam = std::pair<c10::optional<int>, int>
2022-05-18T03:47:06.7476558Z [ RUN      ] CmpTest/1.Cmp
2022-05-18T03:47:06.7476822Z [       OK ] CmpTest/1.Cmp (0 ms)
2022-05-18T03:47:06.7477118Z [----------] 1 test from CmpTest/1 (0 ms total)
2022-05-18T03:47:06.7477267Z 
2022-05-18T03:47:06.7477555Z [----------] 1 test from CmpTest/2, where TypeParam = std::pair<int, c10::optional<int> >
2022-05-18T03:47:06.7477865Z [ RUN      ] CmpTest/2.Cmp
2022-05-18T03:47:06.7478128Z [       OK ] CmpTest/2.Cmp (0 ms)
2022-05-18T03:47:06.7478423Z [----------] 1 test from CmpTest/2 (0 ms total)
2022-05-18T03:47:06.7478605Z 
2022-05-18T03:47:06.7478890Z [----------] 1 test from CmpTest/3, where TypeParam = std::pair<c10::optional<int>, long>
2022-05-18T03:47:06.7479206Z [ RUN      ] CmpTest/3.Cmp
2022-05-18T03:47:06.7479470Z [       OK ] CmpTest/3.Cmp (0 ms)
2022-05-18T03:47:06.7479754Z [----------] 1 test from CmpTest/3 (0 ms total)
2022-05-18T03:47:06.7479903Z 
2022-05-18T03:47:06.7480188Z [----------] 1 test from CmpTest/4, where TypeParam = std::pair<long, c10::optional<int> >
2022-05-18T03:47:06.7480507Z [ RUN      ] CmpTest/4.Cmp
2022-05-18T03:47:06.7480769Z [       OK ] CmpTest/4.Cmp (0 ms)
2022-05-18T03:47:06.7481053Z [----------] 1 test from CmpTest/4 (0 ms total)
2022-05-18T03:47:06.7481202Z 
2022-05-18T03:47:06.7481383Z [----------] 1 test from nullopt/SelfCompareTest
2022-05-18T03:47:06.7481734Z [ RUN      ] nullopt/SelfCompareTest.SelfCompare/0
2022-05-18T03:47:06.7482094Z [       OK ] nullopt/SelfCompareTest.SelfCompare/0 (0 ms)
2022-05-18T03:47:06.7482506Z [----------] 1 test from nullopt/SelfCompareTest (0 ms total)
2022-05-18T03:47:06.7482682Z 
2022-05-18T03:47:06.7482853Z [----------] 1 test from int/SelfCompareTest
2022-05-18T03:47:06.7483339Z [ RUN      ] int/SelfCompareTest.SelfCompare/0
2022-05-18T03:47:06.7483683Z [       OK ] int/SelfCompareTest.SelfCompare/0 (0 ms)
2022-05-18T03:47:06.7484045Z [----------] 1 test from int/SelfCompareTest (0 ms total)
2022-05-18T03:47:06.7484211Z 
2022-05-18T03:47:06.7484386Z [----------] Global test environment tear-down
2022-05-18T03:47:06.7484706Z [==========] 16 tests from 12 test suites ran. (0 ms total)
2022-05-18T03:47:06.7484978Z [  PASSED  ] 16 tests.
2022-05-18T03:47:06.7485281Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:06.7485498Z + case "$test" in
2022-05-18T03:47:06.7485860Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_ordered_preserving_dict_test
2022-05-18T03:47:06.7486263Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:06.7486848Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_ordered_preserving_dict_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_ordered_preserving_dict_test.xml
2022-05-18T03:47:06.7487302Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:06.7487669Z [==========] Running 19 tests from 1 test suite.
2022-05-18T03:47:06.7487982Z [----------] Global test environment set-up.
2022-05-18T03:47:06.7488315Z [----------] 19 tests from OrderedPreservingDictTest
2022-05-18T03:47:06.7488718Z [ RUN      ] OrderedPreservingDictTest.InsertAndDeleteBasic
2022-05-18T03:47:06.7489173Z [       OK ] OrderedPreservingDictTest.InsertAndDeleteBasic (0 ms)
2022-05-18T03:47:06.7489666Z [ RUN      ] OrderedPreservingDictTest.InsertExistingDoesntAffectOrder
2022-05-18T03:47:06.7490186Z [       OK ] OrderedPreservingDictTest.InsertExistingDoesntAffectOrder (0 ms)
2022-05-18T03:47:06.7490632Z [ RUN      ] OrderedPreservingDictTest.testRefType
2022-05-18T03:47:06.7491021Z [       OK ] OrderedPreservingDictTest.testRefType (0 ms)
2022-05-18T03:47:06.7491401Z [ RUN      ] OrderedPreservingDictTest.DictCollisions
2022-05-18T03:47:06.8250465Z [       OK ] OrderedPreservingDictTest.DictCollisions (93 ms)
2022-05-18T03:47:06.8251009Z [ RUN      ] OrderedPreservingDictTest.test_range_insert
2022-05-18T03:47:06.8251417Z [       OK ] OrderedPreservingDictTest.test_range_insert (0 ms)
2022-05-18T03:47:06.8251869Z [ RUN      ] OrderedPreservingDictTest.test_range_erase_all
2022-05-18T03:47:06.8252278Z [       OK ] OrderedPreservingDictTest.test_range_erase_all (0 ms)
2022-05-18T03:47:06.8252944Z [ RUN      ] OrderedPreservingDictTest.test_range_erase
2022-05-18T03:47:06.8271164Z [       OK ] OrderedPreservingDictTest.test_range_erase (1 ms)
2022-05-18T03:47:06.8272104Z [ RUN      ] OrderedPreservingDictTest.test_move_constructor_empty
2022-05-18T03:47:06.8272909Z [       OK ] OrderedPreservingDictTest.test_move_constructor_empty (0 ms)
2022-05-18T03:47:06.8273702Z [ RUN      ] OrderedPreservingDictTest.test_move_operator_empty
2022-05-18T03:47:06.8274106Z [       OK ] OrderedPreservingDictTest.test_move_operator_empty (0 ms)
2022-05-18T03:47:06.8274548Z [ RUN      ] OrderedPreservingDictTest.test_reassign_moved_object_move_constructor
2022-05-18T03:47:06.8275021Z [       OK ] OrderedPreservingDictTest.test_reassign_moved_object_move_constructor (0 ms)
2022-05-18T03:47:06.8275481Z [ RUN      ] OrderedPreservingDictTest.test_reassign_moved_object_move_operator
2022-05-18T03:47:06.8275932Z [       OK ] OrderedPreservingDictTest.test_reassign_moved_object_move_operator (0 ms)
2022-05-18T03:47:06.8276545Z [ RUN      ] OrderedPreservingDictTest.test_copy_constructor_and_operator
2022-05-18T03:47:06.8276998Z [       OK ] OrderedPreservingDictTest.test_copy_constructor_and_operator (0 ms)
2022-05-18T03:47:06.8277624Z [ RUN      ] OrderedPreservingDictTest.test_copy_constructor_empty
2022-05-18T03:47:06.8278106Z [       OK ] OrderedPreservingDictTest.test_copy_constructor_empty (0 ms)
2022-05-18T03:47:06.8278530Z [ RUN      ] OrderedPreservingDictTest.test_copy_operator_empty
2022-05-18T03:47:06.8279027Z [       OK ] OrderedPreservingDictTest.test_copy_operator_empty (0 ms)
2022-05-18T03:47:06.8279393Z [ RUN      ] OrderedPreservingDictTest.test_at
2022-05-18T03:47:06.8279870Z [       OK ] OrderedPreservingDictTest.test_at (0 ms)
2022-05-18T03:47:06.8280361Z [ RUN      ] OrderedPreservingDictTest.test_equal_range
2022-05-18T03:47:06.8280789Z [       OK ] OrderedPreservingDictTest.test_equal_range (0 ms)
2022-05-18T03:47:06.8281260Z [ RUN      ] OrderedPreservingDictTest.test_access_operator
2022-05-18T03:47:06.8281669Z [       OK ] OrderedPreservingDictTest.test_access_operator (0 ms)
2022-05-18T03:47:06.8282126Z [ RUN      ] OrderedPreservingDictTest.test_swap
2022-05-18T03:47:06.8282485Z [       OK ] OrderedPreservingDictTest.test_swap (0 ms)
2022-05-18T03:47:06.8283103Z [ RUN      ] OrderedPreservingDictTest.test_swap_empty
2022-05-18T03:47:06.8283664Z [       OK ] OrderedPreservingDictTest.test_swap_empty (0 ms)
2022-05-18T03:47:06.8284124Z [----------] 19 tests from OrderedPreservingDictTest (96 ms total)
2022-05-18T03:47:06.8284321Z 
2022-05-18T03:47:06.8284505Z [----------] Global test environment tear-down
2022-05-18T03:47:06.8284853Z [==========] 19 tests from 1 test suite ran. (96 ms total)
2022-05-18T03:47:06.8285130Z [  PASSED  ] 19 tests.
2022-05-18T03:47:06.8285420Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:06.8285650Z + case "$test" in
2022-05-18T03:47:06.8285987Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_registry_test
2022-05-18T03:47:06.8290250Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:06.8290843Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_registry_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_registry_test.xml
2022-05-18T03:47:06.8306894Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:06.8307469Z [==========] Running 3 tests from 1 test suite.
2022-05-18T03:47:06.8308003Z [----------] Global test environment set-up.
2022-05-18T03:47:06.8308559Z [----------] 3 tests from RegistryTest
2022-05-18T03:47:06.8308900Z [ RUN      ] RegistryTest.CanRunCreator
2022-05-18T03:47:06.8309386Z [       OK ] RegistryTest.CanRunCreator (0 ms)
2022-05-18T03:47:06.8309883Z [ RUN      ] RegistryTest.ReturnNullOnNonExistingCreator
2022-05-18T03:47:06.8310557Z [       OK ] RegistryTest.ReturnNullOnNonExistingCreator (0 ms)
2022-05-18T03:47:06.8311245Z [ RUN      ] RegistryTest.RegistryPriorities
2022-05-18T03:47:06.8311648Z Key already registered with the same priority: FooWithPriority
2022-05-18T03:47:06.8312124Z Higher priority item already registered, skipping registration of FooWithPriority
2022-05-18T03:47:06.8312839Z [       OK ] RegistryTest.RegistryPriorities (0 ms)
2022-05-18T03:47:06.8313190Z [----------] 3 tests from RegistryTest (0 ms total)
2022-05-18T03:47:06.8313349Z 
2022-05-18T03:47:06.8313525Z [----------] Global test environment tear-down
2022-05-18T03:47:06.8313855Z [==========] 3 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:47:06.8314121Z [  PASSED  ] 3 tests.
2022-05-18T03:47:06.8314414Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:06.8314640Z + case "$test" in
2022-05-18T03:47:06.8315672Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_string_view_test
2022-05-18T03:47:06.8320990Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:06.8321768Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_string_view_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_string_view_test.xml
2022-05-18T03:47:06.8337359Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:06.8337975Z [==========] Running 18 tests from 1 test suite.
2022-05-18T03:47:06.8338471Z [----------] Global test environment set-up.
2022-05-18T03:47:06.8338990Z [----------] 18 tests from StringViewTest
2022-05-18T03:47:06.8339540Z [ RUN      ] StringViewTest.testStringConstructor
2022-05-18T03:47:06.8340180Z [       OK ] StringViewTest.testStringConstructor (0 ms)
2022-05-18T03:47:06.8340718Z [ RUN      ] StringViewTest.testConversionToString
2022-05-18T03:47:06.8341277Z [       OK ] StringViewTest.testConversionToString (0 ms)
2022-05-18T03:47:06.8341849Z [ RUN      ] StringViewTest.testCopyAssignment
2022-05-18T03:47:06.8342215Z [       OK ] StringViewTest.testCopyAssignment (0 ms)
2022-05-18T03:47:06.8342661Z [ RUN      ] StringViewTest.whenCallingAccessOperatorOutOfRange_thenThrows
2022-05-18T03:47:06.8343175Z [       OK ] StringViewTest.whenCallingAccessOperatorOutOfRange_thenThrows (0 ms)
2022-05-18T03:47:06.8343638Z [ RUN      ] StringViewTest.whenRemovingValidPrefix_thenWorks
2022-05-18T03:47:06.8344054Z [       OK ] StringViewTest.whenRemovingValidPrefix_thenWorks (0 ms)
2022-05-18T03:47:06.8344489Z [ RUN      ] StringViewTest.whenRemovingTooLargePrefix_thenThrows
2022-05-18T03:47:06.8344963Z [       OK ] StringViewTest.whenRemovingTooLargePrefix_thenThrows (0 ms)
2022-05-18T03:47:06.8345635Z [ RUN      ] StringViewTest.whenRemovingValidSuffix_thenWorks
2022-05-18T03:47:06.8346246Z [       OK ] StringViewTest.whenRemovingValidSuffix_thenWorks (0 ms)
2022-05-18T03:47:06.8346948Z [ RUN      ] StringViewTest.whenRemovingTooLargeSuffix_thenThrows
2022-05-18T03:47:06.8347558Z [       OK ] StringViewTest.whenRemovingTooLargeSuffix_thenThrows (0 ms)
2022-05-18T03:47:06.8348039Z [ RUN      ] StringViewTest.testSwapFunction
2022-05-18T03:47:06.8348464Z [       OK ] StringViewTest.testSwapFunction (0 ms)
2022-05-18T03:47:06.8348810Z [ RUN      ] StringViewTest.testSwapMethod
2022-05-18T03:47:06.8349143Z [       OK ] StringViewTest.testSwapMethod (0 ms)
2022-05-18T03:47:06.8349590Z [ RUN      ] StringViewTest.whenCopyingFullStringView_thenDestinationHasCorrectData
2022-05-18T03:47:06.8350124Z [       OK ] StringViewTest.whenCopyingFullStringView_thenDestinationHasCorrectData (0 ms)
2022-05-18T03:47:06.8350903Z [ RUN      ] StringViewTest.whenCopyingSubstr_thenDestinationHasCorrectData
2022-05-18T03:47:06.8351441Z [       OK ] StringViewTest.whenCopyingSubstr_thenDestinationHasCorrectData (0 ms)
2022-05-18T03:47:06.8351900Z [ RUN      ] StringViewTest.whenCopyingTooMuch_thenJustCopiesLess
2022-05-18T03:47:06.8352345Z [       OK ] StringViewTest.whenCopyingTooMuch_thenJustCopiesLess (0 ms)
2022-05-18T03:47:06.8352773Z [ RUN      ] StringViewTest.whenCopyingJustAtRange_thenDoesntCrash
2022-05-18T03:47:06.8353226Z [       OK ] StringViewTest.whenCopyingJustAtRange_thenDoesntCrash (0 ms)
2022-05-18T03:47:06.8353656Z [ RUN      ] StringViewTest.whenCopyingOutOfRange_thenThrows
2022-05-18T03:47:06.8354077Z [       OK ] StringViewTest.whenCopyingOutOfRange_thenThrows (0 ms)
2022-05-18T03:47:06.8354532Z [ RUN      ] StringViewTest.whenCallingSubstrWithPosOutOfRange_thenThrows
2022-05-18T03:47:06.8355166Z [       OK ] StringViewTest.whenCallingSubstrWithPosOutOfRange_thenThrows (0 ms)
2022-05-18T03:47:06.8355774Z [ RUN      ] StringViewTest.testOutputOperator
2022-05-18T03:47:06.8356201Z [       OK ] StringViewTest.testOutputOperator (0 ms)
2022-05-18T03:47:06.8356806Z [ RUN      ] StringViewTest.testHash
2022-05-18T03:47:06.8357145Z [       OK ] StringViewTest.testHash (0 ms)
2022-05-18T03:47:06.8357476Z [----------] 18 tests from StringViewTest (0 ms total)
2022-05-18T03:47:06.8357644Z 
2022-05-18T03:47:06.8357821Z [----------] Global test environment tear-down
2022-05-18T03:47:06.8358146Z [==========] 18 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:47:06.8358414Z [  PASSED  ] 18 tests.
2022-05-18T03:47:06.8358715Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:06.8358942Z + case "$test" in
2022-05-18T03:47:06.8359282Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_tempfile_test
2022-05-18T03:47:06.8359660Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:06.8360196Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_tempfile_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_tempfile_test.xml
2022-05-18T03:47:06.8372052Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:06.8372719Z [==========] Running 2 tests from 2 test suites.
2022-05-18T03:47:06.8373121Z [----------] Global test environment set-up.
2022-05-18T03:47:06.8373596Z [----------] 1 test from TempFileTest
2022-05-18T03:47:06.8374173Z [ RUN      ] TempFileTest.MatchesExpectedPattern
2022-05-18T03:47:06.8374794Z [       OK ] TempFileTest.MatchesExpectedPattern (0 ms)
2022-05-18T03:47:06.8375226Z [----------] 1 test from TempFileTest (0 ms total)
2022-05-18T03:47:06.8375428Z 
2022-05-18T03:47:06.8375626Z [----------] 1 test from TempDirTest
2022-05-18T03:47:06.8376153Z [ RUN      ] TempDirTest.tryMakeTempdir
2022-05-18T03:47:06.8376702Z [       OK ] TempDirTest.tryMakeTempdir (0 ms)
2022-05-18T03:47:06.8377041Z [----------] 1 test from TempDirTest (0 ms total)
2022-05-18T03:47:06.8377215Z 
2022-05-18T03:47:06.8377434Z [----------] Global test environment tear-down
2022-05-18T03:47:06.8378012Z [==========] 2 tests from 2 test suites ran. (0 ms total)
2022-05-18T03:47:06.8378460Z [  PASSED  ] 2 tests.
2022-05-18T03:47:06.8378762Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:06.8378991Z + case "$test" in
2022-05-18T03:47:06.8380876Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/c10_typeid_test
2022-05-18T03:47:06.8386799Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:06.8387652Z + /opt/conda/lib/python3.7/site-packages/torch/test/c10_typeid_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/c10_typeid_test.xml
2022-05-18T03:47:06.8402321Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:06.8403210Z [==========] Running 5 tests from 1 test suite.
2022-05-18T03:47:06.8403620Z [----------] Global test environment set-up.
2022-05-18T03:47:06.8403972Z [----------] 5 tests from TypeMetaTest
2022-05-18T03:47:06.8404371Z [ RUN      ] TypeMetaTest.TypeMetaStatic
2022-05-18T03:47:06.8404825Z [       OK ] TypeMetaTest.TypeMetaStatic (0 ms)
2022-05-18T03:47:06.8405171Z [ RUN      ] TypeMetaTest.Names
2022-05-18T03:47:06.8405462Z [       OK ] TypeMetaTest.Names (0 ms)
2022-05-18T03:47:06.8405758Z [ RUN      ] TypeMetaTest.TypeMeta
2022-05-18T03:47:06.8406145Z [       OK ] TypeMetaTest.TypeMeta (0 ms)
2022-05-18T03:47:06.8406473Z [ RUN      ] TypeMetaTest.CtorDtorAndCopy
2022-05-18T03:47:06.8406799Z [       OK ] TypeMetaTest.CtorDtorAndCopy (0 ms)
2022-05-18T03:47:06.8407299Z [ RUN      ] TypeMetaTest.Float16IsNotUint16
2022-05-18T03:47:06.8407661Z [       OK ] TypeMetaTest.Float16IsNotUint16 (0 ms)
2022-05-18T03:47:06.8408001Z [----------] 5 tests from TypeMetaTest (0 ms total)
2022-05-18T03:47:06.8408163Z 
2022-05-18T03:47:06.8408340Z [----------] Global test environment tear-down
2022-05-18T03:47:06.8408718Z [==========] 5 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:47:06.8409037Z [  PASSED  ] 5 tests.
2022-05-18T03:47:06.8409353Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:06.8409582Z + case "$test" in
2022-05-18T03:47:06.8409907Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/cast_test
2022-05-18T03:47:06.8414555Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:06.8415104Z + /opt/conda/lib/python3.7/site-packages/torch/test/cast_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/cast_test.xml
2022-05-18T03:47:07.0134279Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:07.0135193Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:47:07.0135759Z [----------] Global test environment set-up.
2022-05-18T03:47:07.0136296Z [----------] 1 test from CastTest
2022-05-18T03:47:07.0136784Z [ RUN      ] CastTest.GetCastDataType
2022-05-18T03:47:07.0138765Z [       OK ] CastTest.GetCastDataType (0 ms)
2022-05-18T03:47:07.0139362Z [----------] 1 test from CastTest (0 ms total)
2022-05-18T03:47:07.0139586Z 
2022-05-18T03:47:07.0139873Z [----------] Global test environment tear-down
2022-05-18T03:47:07.0141080Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-05-18T03:47:07.0141540Z [  PASSED  ] 1 test.
2022-05-18T03:47:07.0534901Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:07.0535171Z + case "$test" in
2022-05-18T03:47:07.0537065Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/common_subexpression_elimination_test
2022-05-18T03:47:07.0542442Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:07.0543059Z + /opt/conda/lib/python3.7/site-packages/torch/test/common_subexpression_elimination_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/common_subexpression_elimination_test.xml
2022-05-18T03:47:07.2245731Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:07.2246622Z [==========] Running 2 tests from 1 test suite.
2022-05-18T03:47:07.2247201Z [----------] Global test environment set-up.
2022-05-18T03:47:07.2247622Z [----------] 2 tests from CommonSubexpressionEliminationTest
2022-05-18T03:47:07.2248230Z [ RUN      ] CommonSubexpressionEliminationTest.TestSimple
2022-05-18T03:47:07.2248776Z [       OK ] CommonSubexpressionEliminationTest.TestSimple (0 ms)
2022-05-18T03:47:07.2249343Z [ RUN      ] CommonSubexpressionEliminationTest.TestFromExternal
2022-05-18T03:47:07.2250168Z [       OK ] CommonSubexpressionEliminationTest.TestFromExternal (0 ms)
2022-05-18T03:47:07.2250676Z [----------] 2 tests from CommonSubexpressionEliminationTest (0 ms total)
2022-05-18T03:47:07.2250888Z 
2022-05-18T03:47:07.2251066Z [----------] Global test environment tear-down
2022-05-18T03:47:07.2251397Z [==========] 2 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:47:07.2251654Z [  PASSED  ] 2 tests.
2022-05-18T03:47:07.2654102Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:07.2654343Z + case "$test" in
2022-05-18T03:47:07.2656428Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/common_test
2022-05-18T03:47:07.2661810Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:07.2662564Z + /opt/conda/lib/python3.7/site-packages/torch/test/common_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/common_test.xml
2022-05-18T03:47:07.4385431Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:07.4386065Z [==========] Running 2 tests from 1 test suite.
2022-05-18T03:47:07.4386672Z [----------] Global test environment set-up.
2022-05-18T03:47:07.4387092Z [----------] 2 tests from CommonTest
2022-05-18T03:47:07.4387499Z [ RUN      ] CommonTest.TestStoi
2022-05-18T03:47:07.4387883Z [       OK ] CommonTest.TestStoi (0 ms)
2022-05-18T03:47:07.4388384Z [ RUN      ] CommonTest.TestStod
2022-05-18T03:47:07.4388826Z [       OK ] CommonTest.TestStod (0 ms)
2022-05-18T03:47:07.4389134Z [----------] 2 tests from CommonTest (0 ms total)
2022-05-18T03:47:07.4389305Z 
2022-05-18T03:47:07.4389482Z [----------] Global test environment tear-down
2022-05-18T03:47:07.4389821Z [==========] 2 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:47:07.4390086Z [  PASSED  ] 2 tests.
2022-05-18T03:47:07.4805053Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:07.4805472Z + case "$test" in
2022-05-18T03:47:07.4807528Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/context_test
2022-05-18T03:47:07.4813358Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:07.4813938Z + /opt/conda/lib/python3.7/site-packages/torch/test/context_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/context_test.xml
2022-05-18T03:47:07.6530196Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:07.6530866Z [==========] Running 2 tests from 1 test suite.
2022-05-18T03:47:07.6531203Z [----------] Global test environment set-up.
2022-05-18T03:47:07.6531589Z [----------] 2 tests from CPUContextTest
2022-05-18T03:47:07.6531980Z [ RUN      ] CPUContextTest.TestAllocAlignment
2022-05-18T03:47:07.6532354Z [       OK ] CPUContextTest.TestAllocAlignment (0 ms)
2022-05-18T03:47:07.6532816Z [ RUN      ] CPUContextTest.TestAllocDealloc
2022-05-18T03:47:07.6533169Z [       OK ] CPUContextTest.TestAllocDealloc (0 ms)
2022-05-18T03:47:07.6533522Z [----------] 2 tests from CPUContextTest (0 ms total)
2022-05-18T03:47:07.6533688Z 
2022-05-18T03:47:07.6533861Z [----------] Global test environment tear-down
2022-05-18T03:47:07.6534177Z [==========] 2 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:47:07.6534442Z [  PASSED  ] 2 tests.
2022-05-18T03:47:07.6922168Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:07.6922395Z + case "$test" in
2022-05-18T03:47:07.6925250Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/conv_to_nnpack_transform_test
2022-05-18T03:47:07.6930580Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:07.6931181Z + /opt/conda/lib/python3.7/site-packages/torch/test/conv_to_nnpack_transform_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/conv_to_nnpack_transform_test.xml
2022-05-18T03:47:07.8650313Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:07.8650915Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:47:07.8651314Z [----------] Global test environment set-up.
2022-05-18T03:47:07.8651645Z [----------] 1 test from ConvToNNPackTest
2022-05-18T03:47:07.8652024Z [ RUN      ] ConvToNNPackTest.TestSimple
2022-05-18T03:47:07.8652404Z [       OK ] ConvToNNPackTest.TestSimple (0 ms)
2022-05-18T03:47:07.8652865Z [----------] 1 test from ConvToNNPackTest (0 ms total)
2022-05-18T03:47:07.8653042Z 
2022-05-18T03:47:07.8653370Z [----------] Global test environment tear-down
2022-05-18T03:47:07.8653703Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-05-18T03:47:07.8653974Z [  PASSED  ] 1 test.
2022-05-18T03:47:07.9050136Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:07.9050391Z + case "$test" in
2022-05-18T03:47:07.9052978Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/conv_transpose_op_mobile_test
2022-05-18T03:47:07.9057906Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:07.9058884Z + /opt/conda/lib/python3.7/site-packages/torch/test/conv_transpose_op_mobile_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/conv_transpose_op_mobile_test.xml
2022-05-18T03:47:08.0758266Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:08.0759096Z [==========] Running 0 tests from 0 test suites.
2022-05-18T03:47:08.0759651Z [==========] 0 tests from 0 test suites ran. (0 ms total)
2022-05-18T03:47:08.0760079Z [  PASSED  ] 0 tests.
2022-05-18T03:47:08.1161972Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:08.1162225Z + case "$test" in
2022-05-18T03:47:08.1164897Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/converter_nomigraph_test
2022-05-18T03:47:08.1170505Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:08.1171078Z + /opt/conda/lib/python3.7/site-packages/torch/test/converter_nomigraph_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/converter_nomigraph_test.xml
2022-05-18T03:47:08.2919293Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:08.2919797Z [==========] Running 6 tests from 1 test suite.
2022-05-18T03:47:08.2920140Z [----------] Global test environment set-up.
2022-05-18T03:47:08.2920429Z [----------] 6 tests from Converter
2022-05-18T03:47:08.2920786Z [ RUN      ] Converter.Basic
2022-05-18T03:47:08.2921920Z [       OK ] Converter.Basic (0 ms)
2022-05-18T03:47:08.2922378Z [ RUN      ] Converter.UnknownType
2022-05-18T03:47:08.2923237Z [       OK ] Converter.UnknownType (0 ms)
2022-05-18T03:47:08.2923659Z [ RUN      ] Converter.SpecializeConverter
2022-05-18T03:47:08.2924002Z [       OK ] Converter.SpecializeConverter (0 ms)
2022-05-18T03:47:08.2924349Z [ RUN      ] Converter.ExternalInputs
2022-05-18T03:47:08.2924901Z [       OK ] Converter.ExternalInputs (0 ms)
2022-05-18T03:47:08.2925343Z [ RUN      ] Converter.ExternalOutputs
2022-05-18T03:47:08.2925672Z [       OK ] Converter.ExternalOutputs (0 ms)
2022-05-18T03:47:08.2926006Z [ RUN      ] Converter.InjectDataEdgeIndicators
2022-05-18T03:47:08.2926586Z [       OK ] Converter.InjectDataEdgeIndicators (0 ms)
2022-05-18T03:47:08.2926953Z [----------] 6 tests from Converter (0 ms total)
2022-05-18T03:47:08.2927108Z 
2022-05-18T03:47:08.2927273Z [----------] Global test environment tear-down
2022-05-18T03:47:08.2927663Z [==========] 6 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:47:08.2927929Z [  PASSED  ] 6 tests.
2022-05-18T03:47:08.3330033Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:08.3330269Z + case "$test" in
2022-05-18T03:47:08.3332099Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/cpu_generator_test
2022-05-18T03:47:08.3338591Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:08.3339267Z + /opt/conda/lib/python3.7/site-packages/torch/test/cpu_generator_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/cpu_generator_test.xml
2022-05-18T03:47:08.5033743Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:08.5034917Z [==========] Running 13 tests from 1 test suite.
2022-05-18T03:47:08.5035357Z [----------] Global test environment set-up.
2022-05-18T03:47:08.5035668Z [----------] 13 tests from CPUGeneratorImpl
2022-05-18T03:47:08.5036033Z [ RUN      ] CPUGeneratorImpl.TestGeneratorDynamicCast
2022-05-18T03:47:08.5036457Z [       OK ] CPUGeneratorImpl.TestGeneratorDynamicCast (0 ms)
2022-05-18T03:47:08.5036926Z [ RUN      ] CPUGeneratorImpl.TestDefaultGenerator
2022-05-18T03:47:08.5037301Z [       OK ] CPUGeneratorImpl.TestDefaultGenerator (0 ms)
2022-05-18T03:47:08.5037778Z [ RUN      ] CPUGeneratorImpl.TestCloning
2022-05-18T03:47:08.5038114Z [       OK ] CPUGeneratorImpl.TestCloning (0 ms)
2022-05-18T03:47:08.5038544Z [ RUN      ] CPUGeneratorImpl.TestMultithreadingGetEngineOperator
2022-05-18T03:47:08.5039099Z [       OK ] CPUGeneratorImpl.TestMultithreadingGetEngineOperator (0 ms)
2022-05-18T03:47:08.5039535Z [ RUN      ] CPUGeneratorImpl.TestGetSetCurrentSeed
2022-05-18T03:47:08.5039928Z [       OK ] CPUGeneratorImpl.TestGetSetCurrentSeed (0 ms)
2022-05-18T03:47:08.5040354Z [ RUN      ] CPUGeneratorImpl.TestMultithreadingGetSetCurrentSeed
2022-05-18T03:47:08.5040841Z [       OK ] CPUGeneratorImpl.TestMultithreadingGetSetCurrentSeed (0 ms)
2022-05-18T03:47:08.5041250Z [ RUN      ] CPUGeneratorImpl.TestRNGForking
2022-05-18T03:47:08.5216791Z [       OK ] CPUGeneratorImpl.TestRNGForking (17 ms)
2022-05-18T03:47:08.5217324Z [ RUN      ] CPUGeneratorImpl.TestPhiloxEngineReproducibility
2022-05-18T03:47:08.5217791Z [       OK ] CPUGeneratorImpl.TestPhiloxEngineReproducibility (0 ms)
2022-05-18T03:47:08.5218218Z [ RUN      ] CPUGeneratorImpl.TestPhiloxEngineOffset1
2022-05-18T03:47:08.5218612Z [       OK ] CPUGeneratorImpl.TestPhiloxEngineOffset1 (0 ms)
2022-05-18T03:47:08.5219025Z [ RUN      ] CPUGeneratorImpl.TestPhiloxEngineOffset2
2022-05-18T03:47:08.5219587Z [       OK ] CPUGeneratorImpl.TestPhiloxEngineOffset2 (0 ms)
2022-05-18T03:47:08.5219973Z [ RUN      ] CPUGeneratorImpl.TestPhiloxEngineOffset3
2022-05-18T03:47:08.5220436Z [       OK ] CPUGeneratorImpl.TestPhiloxEngineOffset3 (0 ms)
2022-05-18T03:47:08.5221077Z [ RUN      ] CPUGeneratorImpl.TestPhiloxEngineIndex
2022-05-18T03:47:08.5221665Z [       OK ] CPUGeneratorImpl.TestPhiloxEngineIndex (0 ms)
2022-05-18T03:47:08.5222078Z [ RUN      ] CPUGeneratorImpl.TestMT19937EngineReproducibility
2022-05-18T03:47:08.5222539Z [       OK ] CPUGeneratorImpl.TestMT19937EngineReproducibility (0 ms)
2022-05-18T03:47:08.5222954Z [----------] 13 tests from CPUGeneratorImpl (18 ms total)
2022-05-18T03:47:08.5223125Z 
2022-05-18T03:47:08.5223384Z [----------] Global test environment tear-down
2022-05-18T03:47:08.5224612Z [==========] 13 tests from 1 test suite ran. (18 ms total)
2022-05-18T03:47:08.5224892Z [  PASSED  ] 13 tests.
2022-05-18T03:47:08.5626696Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:08.5626964Z + case "$test" in
2022-05-18T03:47:08.5629093Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/cpu_profiling_allocator_test
2022-05-18T03:47:08.5635083Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:08.5635772Z + /opt/conda/lib/python3.7/site-packages/torch/test/cpu_profiling_allocator_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/cpu_profiling_allocator_test.xml
2022-05-18T03:47:08.7345465Z [==========] Running 2 tests from 1 test suite.
2022-05-18T03:47:08.7346323Z [----------] Global test environment set-up.
2022-05-18T03:47:08.7347269Z [----------] 2 tests from CPUAllocationPlanTest
2022-05-18T03:47:08.7347980Z [ RUN      ] CPUAllocationPlanTest.with_control_flow
2022-05-18T03:47:08.7449816Z [W CPUProfilingAllocator.cpp:293] Warning: Allocation request does not match plan:Allocation id:0, Number of recorded allocations:3, Recorded size of the requested allocation:288592, but got:88 (function validate_allocation)
2022-05-18T03:47:08.7455473Z [W CPUProfilingAllocator.cpp:293] Warning: Allocation request does not match plan:Allocation id:0, Number of recorded allocations:3, Recorded size of the requested allocation:288592, but got:88 (function validate_allocation)
2022-05-18T03:47:08.7460338Z [W CPUProfilingAllocator.cpp:293] Warning: Allocation request does not match plan:Allocation id:0, Number of recorded allocations:3, Recorded size of the requested allocation:288592, but got:88 (function validate_allocation)
2022-05-18T03:47:08.7468696Z [W CPUProfilingAllocator.cpp:293] Warning: Allocation request does not match plan:Allocation id:0, Number of recorded allocations:3, Recorded size of the requested allocation:288592, but got:88 (function validate_allocation)
2022-05-18T03:47:08.7476628Z [W CPUProfilingAllocator.cpp:293] Warning: Allocation request does not match plan:Allocation id:0, Number of recorded allocations:3, Recorded size of the requested allocation:288592, but got:88 (function validate_allocation)
2022-05-18T03:47:08.7481989Z [W CPUProfilingAllocator.cpp:293] Warning: Allocation request does not match plan:Allocation id:0, Number of recorded allocations:3, Recorded size of the requested allocation:288592, but got:88 (function validate_allocation)
2022-05-18T03:47:08.7489671Z [W CPUProfilingAllocator.cpp:293] Warning: Allocation request does not match plan:Allocation id:0, Number of recorded allocations:3, Recorded size of the requested allocation:288592, but got:88 (function validate_allocation)
2022-05-18T03:47:08.7498079Z [W CPUProfilingAllocator.cpp:293] Warning: Allocation request does not match plan:Allocation id:0, Number of recorded allocations:3, Recorded size of the requested allocation:288592, but got:88 (function validate_allocation)
2022-05-18T03:47:08.7503476Z [W CPUProfilingAllocator.cpp:293] Warning: Allocation request does not match plan:Allocation id:0, Number of recorded allocations:3, Recorded size of the requested allocation:288592, but got:88 (function validate_allocation)
2022-05-18T03:47:08.7508423Z [W CPUProfilingAllocator.cpp:293] Warning: Allocation request does not match plan:Allocation id:0, Number of recorded allocations:3, Recorded size of the requested allocation:288592, but got:88 (function validate_allocation)
2022-05-18T03:47:08.7516952Z [W CPUProfilingAllocator.cpp:293] Warning: Allocation request does not match plan:Allocation id:0, Number of recorded allocations:6, Recorded size of the requested allocation:88, but got:288592 (function validate_allocation)
2022-05-18T03:47:08.7521962Z [W CPUProfilingAllocator.cpp:293] Warning: Allocation request does not match plan:Allocation id:0, Number of recorded allocations:6, Recorded size of the requested allocation:88, but got:288592 (function validate_allocation)
2022-05-18T03:47:08.7527633Z [W CPUProfilingAllocator.cpp:293] Warning: Allocation request does not match plan:Allocation id:0, Number of recorded allocations:6, Recorded size of the requested allocation:88, but got:288592 (function validate_allocation)
2022-05-18T03:47:08.7530888Z [W CPUProfilingAllocator.cpp:293] Warning: Allocation request does not match plan:Allocation id:0, Number of recorded allocations:6, Recorded size of the requested allocation:88, but got:288592 (function validate_allocation)
2022-05-18T03:47:08.7534235Z [W CPUProfilingAllocator.cpp:293] Warning: Allocation request does not match plan:Allocation id:0, Number of recorded allocations:6, Recorded size of the requested allocation:88, but got:288592 (function validate_allocation)
2022-05-18T03:47:08.7537358Z [W CPUProfilingAllocator.cpp:293] Warning: Allocation request does not match plan:Allocation id:0, Number of recorded allocations:6, Recorded size of the requested allocation:88, but got:288592 (function validate_allocation)
2022-05-18T03:47:08.7540591Z [W CPUProfilingAllocator.cpp:293] Warning: Allocation request does not match plan:Allocation id:0, Number of recorded allocations:6, Recorded size of the requested allocation:88, but got:288592 (function validate_allocation)
2022-05-18T03:47:08.7628632Z [W CPUProfilingAllocator.cpp:293] Warning: Allocation request does not match plan:Allocation id:0, Number of recorded allocations:6, Recorded size of the requested allocation:88, but got:288592 (function validate_allocation)
2022-05-18T03:47:08.7651199Z [W CPUProfilingAllocator.cpp:293] Warning: Allocation request does not match plan:Allocation id:0, Number of recorded allocations:6, Recorded size of the requested allocation:88, but got:288592 (function validate_allocation)
2022-05-18T03:47:08.7674696Z [W CPUProfilingAllocator.cpp:293] Warning: Allocation request does not match plan:Allocation id:0, Number of recorded allocations:6, Recorded size of the requested allocation:88, but got:288592 (function validate_allocation)
2022-05-18T03:47:08.7740984Z [       OK ] CPUAllocationPlanTest.with_control_flow (39 ms)
2022-05-18T03:47:08.7741475Z [ RUN      ] CPUAllocationPlanTest.with_profiling_alloc
2022-05-18T03:47:08.8036513Z [       OK ] CPUAllocationPlanTest.with_profiling_alloc (29 ms)
2022-05-18T03:47:08.8037122Z [----------] 2 tests from CPUAllocationPlanTest (69 ms total)
2022-05-18T03:47:08.8037383Z 
2022-05-18T03:47:08.8037645Z [----------] Global test environment tear-down
2022-05-18T03:47:08.8039536Z [==========] 2 tests from 1 test suite ran. (69 ms total)
2022-05-18T03:47:08.8039923Z [  PASSED  ] 2 tests.
2022-05-18T03:47:08.8556921Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:08.8557199Z + case "$test" in
2022-05-18T03:47:08.8558778Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/cpu_rng_test
2022-05-18T03:47:08.8564935Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:08.8565633Z + /opt/conda/lib/python3.7/site-packages/torch/test/cpu_rng_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/cpu_rng_test.xml
2022-05-18T03:47:09.0281988Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:09.0282766Z [==========] Running 22 tests from 1 test suite.
2022-05-18T03:47:09.0283284Z [----------] Global test environment set-up.
2022-05-18T03:47:09.0283574Z [----------] 22 tests from RNGTest
2022-05-18T03:47:09.0283858Z [ RUN      ] RNGTest.RandomFromTo
2022-05-18T03:47:09.0417100Z [       OK ] RNGTest.RandomFromTo (13 ms)
2022-05-18T03:47:09.0417412Z [ RUN      ] RNGTest.Random
2022-05-18T03:47:09.0428904Z [       OK ] RNGTest.Random (1 ms)
2022-05-18T03:47:09.0429399Z [ RUN      ] RNGTest.Random64bits
2022-05-18T03:47:09.0429802Z [       OK ] RNGTest.Random64bits (0 ms)
2022-05-18T03:47:09.0430450Z [ RUN      ] RNGTest.Normal
2022-05-18T03:47:09.0430728Z [       OK ] RNGTest.Normal (0 ms)
2022-05-18T03:47:09.0431038Z [ RUN      ] RNGTest.Normal_float_Tensor_out
2022-05-18T03:47:09.0451752Z [       OK ] RNGTest.Normal_float_Tensor_out (2 ms)
2022-05-18T03:47:09.0452296Z [ RUN      ] RNGTest.Normal_Tensor_float_out
2022-05-18T03:47:09.0452746Z [       OK ] RNGTest.Normal_Tensor_float_out (0 ms)
2022-05-18T03:47:09.0453232Z [ RUN      ] RNGTest.Normal_Tensor_Tensor_out
2022-05-18T03:47:09.0453743Z [       OK ] RNGTest.Normal_Tensor_Tensor_out (0 ms)
2022-05-18T03:47:09.0454186Z [ RUN      ] RNGTest.Normal_float_Tensor
2022-05-18T03:47:09.0454616Z [       OK ] RNGTest.Normal_float_Tensor (0 ms)
2022-05-18T03:47:09.0455117Z [ RUN      ] RNGTest.Normal_Tensor_float
2022-05-18T03:47:09.0455643Z [       OK ] RNGTest.Normal_Tensor_float (0 ms)
2022-05-18T03:47:09.0456183Z [ RUN      ] RNGTest.Normal_Tensor_Tensor
2022-05-18T03:47:09.0456706Z [       OK ] RNGTest.Normal_Tensor_Tensor (0 ms)
2022-05-18T03:47:09.0457432Z [ RUN      ] RNGTest.Uniform
2022-05-18T03:47:09.0457926Z [       OK ] RNGTest.Uniform (0 ms)
2022-05-18T03:47:09.0458387Z [ RUN      ] RNGTest.Cauchy
2022-05-18T03:47:09.0458880Z [       OK ] RNGTest.Cauchy (0 ms)
2022-05-18T03:47:09.0459289Z [ RUN      ] RNGTest.LogNormal
2022-05-18T03:47:09.0459641Z [       OK ] RNGTest.LogNormal (0 ms)
2022-05-18T03:47:09.0460071Z [ RUN      ] RNGTest.Geometric
2022-05-18T03:47:09.0460557Z [       OK ] RNGTest.Geometric (0 ms)
2022-05-18T03:47:09.0461064Z [ RUN      ] RNGTest.Exponential
2022-05-18T03:47:09.0461549Z [       OK ] RNGTest.Exponential (0 ms)
2022-05-18T03:47:09.0462050Z [ RUN      ] RNGTest.Bernoulli_Tensor
2022-05-18T03:47:09.0462590Z [       OK ] RNGTest.Bernoulli_Tensor (0 ms)
2022-05-18T03:47:09.0463079Z [ RUN      ] RNGTest.Bernoulli_scalar
2022-05-18T03:47:09.0463612Z [       OK ] RNGTest.Bernoulli_scalar (0 ms)
2022-05-18T03:47:09.0464095Z [ RUN      ] RNGTest.Bernoulli
2022-05-18T03:47:09.0464562Z [       OK ] RNGTest.Bernoulli (0 ms)
2022-05-18T03:47:09.0465064Z [ RUN      ] RNGTest.Bernoulli_2
2022-05-18T03:47:09.0465637Z [       OK ] RNGTest.Bernoulli_2 (0 ms)
2022-05-18T03:47:09.0466138Z [ RUN      ] RNGTest.Bernoulli_p
2022-05-18T03:47:09.0466632Z [       OK ] RNGTest.Bernoulli_p (0 ms)
2022-05-18T03:47:09.0467147Z [ RUN      ] RNGTest.Bernoulli_p_2
2022-05-18T03:47:09.0467655Z [       OK ] RNGTest.Bernoulli_p_2 (0 ms)
2022-05-18T03:47:09.0468163Z [ RUN      ] RNGTest.Bernoulli_out
2022-05-18T03:47:09.0468591Z [       OK ] RNGTest.Bernoulli_out (0 ms)
2022-05-18T03:47:09.0468917Z [----------] 22 tests from RNGTest (18 ms total)
2022-05-18T03:47:09.0469078Z 
2022-05-18T03:47:09.0469242Z [----------] Global test environment tear-down
2022-05-18T03:47:09.0470673Z [==========] 22 tests from 1 test suite ran. (18 ms total)
2022-05-18T03:47:09.0471190Z [  PASSED  ] 22 tests.
2022-05-18T03:47:09.0906053Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:09.0906329Z + case "$test" in
2022-05-18T03:47:09.0907176Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/cpuid_test
2022-05-18T03:47:09.0907901Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:09.0908528Z + /opt/conda/lib/python3.7/site-packages/torch/test/cpuid_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/cpuid_test.xml
2022-05-18T03:47:09.2639833Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:09.2640545Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:47:09.2641085Z [----------] Global test environment set-up.
2022-05-18T03:47:09.2641789Z [----------] 1 test from CpuIdTest
2022-05-18T03:47:09.2642319Z [ RUN      ] CpuIdTest.ShouldAlwaysHaveMMX
2022-05-18T03:47:09.2642863Z [       OK ] CpuIdTest.ShouldAlwaysHaveMMX (0 ms)
2022-05-18T03:47:09.2643865Z [----------] 1 test from CpuIdTest (0 ms total)
2022-05-18T03:47:09.2644076Z 
2022-05-18T03:47:09.2644310Z [----------] Global test environment tear-down
2022-05-18T03:47:09.2644744Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-05-18T03:47:09.2645093Z [  PASSED  ] 1 test.
2022-05-18T03:47:09.3068669Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:09.3068932Z + case "$test" in
2022-05-18T03:47:09.3071268Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/data_filler_test
2022-05-18T03:47:09.3076414Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:09.3077046Z + /opt/conda/lib/python3.7/site-packages/torch/test/data_filler_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/data_filler_test.xml
2022-05-18T03:47:09.4804230Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:09.4804935Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:47:09.4805246Z [----------] Global test environment set-up.
2022-05-18T03:47:09.4805567Z [----------] 1 test from DataFiller
2022-05-18T03:47:09.4805873Z [ RUN      ] DataFiller.FillNetInputTest
2022-05-18T03:47:09.4806209Z [       OK ] DataFiller.FillNetInputTest (0 ms)
2022-05-18T03:47:09.4806532Z [----------] 1 test from DataFiller (0 ms total)
2022-05-18T03:47:09.4806736Z 
2022-05-18T03:47:09.4807026Z [----------] Global test environment tear-down
2022-05-18T03:47:09.4807358Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-05-18T03:47:09.4807620Z [  PASSED  ] 1 test.
2022-05-18T03:47:09.5218278Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:09.5218710Z + case "$test" in
2022-05-18T03:47:09.5221164Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/dead_code_elim_test
2022-05-18T03:47:09.5226702Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:09.5244082Z + /opt/conda/lib/python3.7/site-packages/torch/test/dead_code_elim_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/dead_code_elim_test.xml
2022-05-18T03:47:09.6949990Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:09.6950691Z [==========] Running 3 tests from 1 test suite.
2022-05-18T03:47:09.6951015Z [----------] Global test environment set-up.
2022-05-18T03:47:09.6951401Z [----------] 3 tests from DeadCodeElim
2022-05-18T03:47:09.6951726Z [ RUN      ] DeadCodeElim.BasicElim
2022-05-18T03:47:09.6952128Z [       OK ] DeadCodeElim.BasicElim (0 ms)
2022-05-18T03:47:09.6952558Z [ RUN      ] DeadCodeElim.BasicNoElim
2022-05-18T03:47:09.6953099Z [       OK ] DeadCodeElim.BasicNoElim (0 ms)
2022-05-18T03:47:09.6953565Z [ RUN      ] DeadCodeElim.PartiallyUsedNoElim
2022-05-18T03:47:09.6953930Z [       OK ] DeadCodeElim.PartiallyUsedNoElim (0 ms)
2022-05-18T03:47:09.6954271Z [----------] 3 tests from DeadCodeElim (0 ms total)
2022-05-18T03:47:09.6954433Z 
2022-05-18T03:47:09.6954606Z [----------] Global test environment tear-down
2022-05-18T03:47:09.6954939Z [==========] 3 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:47:09.6955209Z [  PASSED  ] 3 tests.
2022-05-18T03:47:09.7355041Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:09.7355401Z + case "$test" in
2022-05-18T03:47:09.7357313Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/depthwise3x3_conv_op_test
2022-05-18T03:47:09.7363444Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:09.7364182Z + /opt/conda/lib/python3.7/site-packages/torch/test/depthwise3x3_conv_op_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/depthwise3x3_conv_op_test.xml
2022-05-18T03:47:09.9076095Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:09.9076808Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:47:09.9077118Z [----------] Global test environment set-up.
2022-05-18T03:47:09.9077442Z [----------] 1 test from DEPTHWISE3x3
2022-05-18T03:47:09.9077727Z [ RUN      ] DEPTHWISE3x3.Conv
2022-05-18T03:47:09.9084276Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:09.9864023Z [       OK ] DEPTHWISE3x3.Conv (78 ms)
2022-05-18T03:47:09.9864522Z [----------] 1 test from DEPTHWISE3x3 (78 ms total)
2022-05-18T03:47:09.9865143Z 
2022-05-18T03:47:09.9865469Z [----------] Global test environment tear-down
2022-05-18T03:47:09.9866152Z [==========] 1 test from 1 test suite ran. (78 ms total)
2022-05-18T03:47:09.9866514Z [  PASSED  ] 1 test.
2022-05-18T03:47:10.0306904Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:10.0307169Z + case "$test" in
2022-05-18T03:47:10.0308947Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/device_test
2022-05-18T03:47:10.0314063Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:10.0314592Z + /opt/conda/lib/python3.7/site-packages/torch/test/device_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/device_test.xml
2022-05-18T03:47:10.2044436Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:10.2045224Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:47:10.2045779Z [----------] Global test environment set-up.
2022-05-18T03:47:10.2046212Z [----------] 1 test from DeviceTest
2022-05-18T03:47:10.2047764Z [ RUN      ] DeviceTest.InsertCopies
2022-05-18T03:47:10.2124820Z [       OK ] DeviceTest.InsertCopies (0 ms)
2022-05-18T03:47:10.2125207Z [----------] 1 test from DeviceTest (0 ms total)
2022-05-18T03:47:10.2125369Z 
2022-05-18T03:47:10.2125557Z [----------] Global test environment tear-down
2022-05-18T03:47:10.2125888Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-05-18T03:47:10.2126147Z [  PASSED  ] 1 test.
2022-05-18T03:47:10.2453070Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:10.2453373Z + case "$test" in
2022-05-18T03:47:10.2455478Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/dispatch_key_set_test
2022-05-18T03:47:10.2460625Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:10.2461237Z + /opt/conda/lib/python3.7/site-packages/torch/test/dispatch_key_set_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/dispatch_key_set_test.xml
2022-05-18T03:47:10.4184380Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:10.4185247Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:47:10.4185642Z [----------] Global test environment set-up.
2022-05-18T03:47:10.4186226Z [----------] 1 test from DispatchKeySetTest
2022-05-18T03:47:10.4186880Z [ RUN      ] DispatchKeySetTest.TestGetRuntimeDispatchKeySet
2022-05-18T03:47:10.4187452Z [       OK ] DispatchKeySetTest.TestGetRuntimeDispatchKeySet (0 ms)
2022-05-18T03:47:10.4188017Z [----------] 1 test from DispatchKeySetTest (0 ms total)
2022-05-18T03:47:10.4188192Z 
2022-05-18T03:47:10.4188423Z [----------] Global test environment tear-down
2022-05-18T03:47:10.4188855Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-05-18T03:47:10.4189317Z [  PASSED  ] 1 test.
2022-05-18T03:47:10.4613232Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:10.4613480Z + case "$test" in
2022-05-18T03:47:10.4615824Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/distributed_test
2022-05-18T03:47:10.4621054Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:10.4621603Z + /opt/conda/lib/python3.7/site-packages/torch/test/distributed_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/distributed_test.xml
2022-05-18T03:47:10.6336618Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:10.6337385Z [==========] Running 9 tests from 2 test suites.
2022-05-18T03:47:10.6337942Z [----------] Global test environment set-up.
2022-05-18T03:47:10.6338476Z [----------] 4 tests from Converter
2022-05-18T03:47:10.6338988Z [ RUN      ] Converter.DeclareExport
2022-05-18T03:47:10.6339515Z [       OK ] Converter.DeclareExport (0 ms)
2022-05-18T03:47:10.6340398Z [ RUN      ] Converter.InjectDataEdgeIndicators
2022-05-18T03:47:10.6340976Z [W converter.cc:93] Cannot instantiate this OperatorDef from nomnigraph, falling back
2022-05-18T03:47:10.6341610Z [W converter.cc:93] Cannot instantiate this OperatorDef from nomnigraph, falling back
2022-05-18T03:47:10.6342018Z [W converter.cc:93] Cannot instantiate this OperatorDef from nomnigraph, falling back
2022-05-18T03:47:10.6342418Z [       OK ] Converter.InjectDataEdgeIndicators (0 ms)
2022-05-18T03:47:10.6342799Z [ RUN      ] Converter.OverloadedConvertToNNModule
2022-05-18T03:47:10.6343139Z [W converter.cc:93] Cannot instantiate this OperatorDef from nomnigraph, falling back
2022-05-18T03:47:10.6343492Z [W converter.cc:93] Cannot instantiate this OperatorDef from nomnigraph, falling back
2022-05-18T03:47:10.6343824Z [W converter.cc:93] Cannot instantiate this OperatorDef from nomnigraph, falling back
2022-05-18T03:47:10.6344236Z [       OK ] Converter.OverloadedConvertToNNModule (0 ms)
2022-05-18T03:47:10.6344642Z [ RUN      ] Converter.OverloadedConvertToNNModuleFailure
2022-05-18T03:47:10.6344981Z [W converter.cc:93] Cannot instantiate this OperatorDef from nomnigraph, falling back
2022-05-18T03:47:10.6345408Z [W converter.cc:93] Cannot instantiate this OperatorDef from nomnigraph, falling back
2022-05-18T03:47:10.6345761Z [W converter.cc:93] Cannot instantiate this OperatorDef from nomnigraph, falling back
2022-05-18T03:47:10.6353820Z [       OK ] Converter.OverloadedConvertToNNModuleFailure (1 ms)
2022-05-18T03:47:10.6354514Z [----------] 4 tests from Converter (1 ms total)
2022-05-18T03:47:10.6354713Z 
2022-05-18T03:47:10.6354880Z [----------] 5 tests from Distributed
2022-05-18T03:47:10.6355203Z [ RUN      ] Distributed.InsertDeviceOptions
2022-05-18T03:47:10.6355562Z [       OK ] Distributed.InsertDeviceOptions (0 ms)
2022-05-18T03:47:10.6355949Z [ RUN      ] Distributed.InsertDeviceOptionsFailureCase
2022-05-18T03:47:10.6361498Z [       OK ] Distributed.InsertDeviceOptionsFailureCase (0 ms)
2022-05-18T03:47:10.6362370Z [ RUN      ] Distributed.InsertDeviceOptionsDuplicateKeyAcrossExternalInputAndOutput
2022-05-18T03:47:10.6363160Z [       OK ] Distributed.InsertDeviceOptionsDuplicateKeyAcrossExternalInputAndOutput (0 ms)
2022-05-18T03:47:10.6363750Z [ RUN      ] Distributed.InsertDeviceOptionsDuplicateKeyInExternalInput
2022-05-18T03:47:10.6369014Z [       OK ] Distributed.InsertDeviceOptionsDuplicateKeyInExternalInput (0 ms)
2022-05-18T03:47:10.6369595Z [ RUN      ] Distributed.InsertDeviceOptionsDuplicateKeyInExternalOutput
2022-05-18T03:47:10.6375643Z [       OK ] Distributed.InsertDeviceOptionsDuplicateKeyInExternalOutput (0 ms)
2022-05-18T03:47:10.6376164Z [----------] 5 tests from Distributed (2 ms total)
2022-05-18T03:47:10.6376535Z 
2022-05-18T03:47:10.6376717Z [----------] Global test environment tear-down
2022-05-18T03:47:10.6379687Z [==========] 9 tests from 2 test suites ran. (4 ms total)
2022-05-18T03:47:10.6380098Z [  PASSED  ] 9 tests.
2022-05-18T03:47:10.6793556Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:10.6793826Z + case "$test" in
2022-05-18T03:47:10.6796222Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/dlconvertor_test
2022-05-18T03:47:10.6801237Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:10.6802043Z + /opt/conda/lib/python3.7/site-packages/torch/test/dlconvertor_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/dlconvertor_test.xml
2022-05-18T03:47:10.8508710Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:10.8509406Z [==========] Running 2 tests from 1 test suite.
2022-05-18T03:47:10.8509747Z [----------] Global test environment set-up.
2022-05-18T03:47:10.8510325Z [----------] 2 tests from TestDlconvertor
2022-05-18T03:47:10.8510658Z [ RUN      ] TestDlconvertor.TestDlconvertor
2022-05-18T03:47:10.8513110Z [       OK ] TestDlconvertor.TestDlconvertor (0 ms)
2022-05-18T03:47:10.8513807Z [ RUN      ] TestDlconvertor.TestDlconvertorNoStrides
2022-05-18T03:47:10.8514318Z [       OK ] TestDlconvertor.TestDlconvertorNoStrides (0 ms)
2022-05-18T03:47:10.8514844Z [----------] 2 tests from TestDlconvertor (0 ms total)
2022-05-18T03:47:10.8515027Z 
2022-05-18T03:47:10.8515259Z [----------] Global test environment tear-down
2022-05-18T03:47:10.8515591Z [==========] 2 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:47:10.8515861Z [  PASSED  ] 2 tests.
2022-05-18T03:47:10.8914922Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:10.8915353Z + case "$test" in
2022-05-18T03:47:10.8917504Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/elementwise_op_test
2022-05-18T03:47:10.8924212Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:10.8924822Z + /opt/conda/lib/python3.7/site-packages/torch/test/elementwise_op_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/elementwise_op_test.xml
2022-05-18T03:47:11.0647083Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:11.0647908Z [==========] Running 5 tests from 2 test suites.
2022-05-18T03:47:11.0648294Z [----------] Global test environment set-up.
2022-05-18T03:47:11.0648660Z [----------] 1 test from ElementwiseCPUTest
2022-05-18T03:47:11.0649089Z [ RUN      ] ElementwiseCPUTest.And
2022-05-18T03:47:11.0649516Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:11.0650094Z [       OK ] ElementwiseCPUTest.And (0 ms)
2022-05-18T03:47:11.0650735Z [----------] 1 test from ElementwiseCPUTest (0 ms total)
2022-05-18T03:47:11.0650960Z 
2022-05-18T03:47:11.0651167Z [----------] 4 tests from ElementwiseTest
2022-05-18T03:47:11.0651645Z [ RUN      ] ElementwiseTest.Or
2022-05-18T03:47:11.0652151Z [       OK ] ElementwiseTest.Or (0 ms)
2022-05-18T03:47:11.0652614Z [ RUN      ] ElementwiseTest.Xor
2022-05-18T03:47:11.0652956Z [       OK ] ElementwiseTest.Xor (0 ms)
2022-05-18T03:47:11.0653279Z [ RUN      ] ElementwiseTest.Not
2022-05-18T03:47:11.0653598Z [       OK ] ElementwiseTest.Not (0 ms)
2022-05-18T03:47:11.0653875Z [ RUN      ] ElementwiseTest.EQ
2022-05-18T03:47:11.0654152Z [       OK ] ElementwiseTest.EQ (0 ms)
2022-05-18T03:47:11.0654480Z [----------] 4 tests from ElementwiseTest (0 ms total)
2022-05-18T03:47:11.0654648Z 
2022-05-18T03:47:11.0655025Z [----------] Global test environment tear-down
2022-05-18T03:47:11.0656307Z [==========] 5 tests from 2 test suites ran. (0 ms total)
2022-05-18T03:47:11.0656701Z [  PASSED  ] 5 tests.
2022-05-18T03:47:11.1068943Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:11.1069191Z + case "$test" in
2022-05-18T03:47:11.1071257Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/event_test
2022-05-18T03:47:11.1076902Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:11.1077463Z + /opt/conda/lib/python3.7/site-packages/torch/test/event_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/event_test.xml
2022-05-18T03:47:11.2793566Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:11.2794204Z [==========] Running 2 tests from 1 test suite.
2022-05-18T03:47:11.2794537Z [----------] Global test environment set-up.
2022-05-18T03:47:11.2794969Z [----------] 2 tests from EventCPUTest
2022-05-18T03:47:11.2795269Z [ RUN      ] EventCPUTest.EventBasics
2022-05-18T03:47:11.2795861Z [       OK ] EventCPUTest.EventBasics (0 ms)
2022-05-18T03:47:11.2796185Z [ RUN      ] EventCPUTest.EventErrors
2022-05-18T03:47:11.2801800Z [W event.cc:100] SetFinished called on a finished event. Most likely caused by an external cancellation. old message: error 1, new message: error 2
2022-05-18T03:47:11.2802313Z [       OK ] EventCPUTest.EventErrors (0 ms)
2022-05-18T03:47:11.2802740Z [----------] 2 tests from EventCPUTest (0 ms total)
2022-05-18T03:47:11.2803146Z 
2022-05-18T03:47:11.2803331Z [----------] Global test environment tear-down
2022-05-18T03:47:11.2804197Z [==========] 2 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:47:11.2804477Z [  PASSED  ] 2 tests.
2022-05-18T03:47:11.3212877Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:11.3213139Z + case "$test" in
2022-05-18T03:47:11.3215631Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/extension_backend_test
2022-05-18T03:47:11.3221322Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:11.3221924Z + /opt/conda/lib/python3.7/site-packages/torch/test/extension_backend_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/extension_backend_test.xml
2022-05-18T03:47:11.4936795Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:11.4937567Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:47:11.4938127Z [----------] Global test environment set-up.
2022-05-18T03:47:11.4938732Z [----------] 1 test from BackendExtensionTest
2022-05-18T03:47:11.4939260Z [ RUN      ] BackendExtensionTest.TestRegisterOp
2022-05-18T03:47:11.4939901Z [       OK ] BackendExtensionTest.TestRegisterOp (0 ms)
2022-05-18T03:47:11.4940486Z [----------] 1 test from BackendExtensionTest (0 ms total)
2022-05-18T03:47:11.4940671Z 
2022-05-18T03:47:11.4940854Z [----------] Global test environment tear-down
2022-05-18T03:47:11.4941171Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-05-18T03:47:11.4941438Z [  PASSED  ] 1 test.
2022-05-18T03:47:11.5333360Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:11.5333786Z + case "$test" in
2022-05-18T03:47:11.5335932Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test
2022-05-18T03:47:11.5341760Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:11.5342382Z + /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/fatal_signal_asan_no_sig_test.xml
2022-05-18T03:47:11.7046285Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:11.7047111Z [==========] Running 7 tests from 1 test suite.
2022-05-18T03:47:11.7047460Z [----------] Global test environment set-up.
2022-05-18T03:47:11.7047829Z [----------] 7 tests from fatalSignalTest
2022-05-18T03:47:11.7048140Z [ RUN      ] fatalSignalTest.SIGABRT8
2022-05-18T03:47:11.7318706Z SIGABRT(6), PID: 1548, Thread 1548: 
2022-05-18T03:47:11.7319810Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.7320681Z frame #1: c10::FatalSignalHandler::fatalSignalHandler(int) + 0x10a (0x7fb825332f0a in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.7321537Z frame #2: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7322147Z frame #3: raise + 0x29 (0x7fb81c736269 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7322686Z frame #4: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a26d]
2022-05-18T03:47:11.7323557Z frame #5: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41750c]
2022-05-18T03:47:11.7324181Z frame #6: fatalSignalTest_SIGABRT8_Test::TestBody() + 0x68 (0x416bd8 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.7325016Z frame #7: void testing::internal::HandleExceptionsInMethodIfSupported<testing::Test, void>(testing::Test*, void (testing::Test::*)(), char const*) + 0x44 (0x4515b4 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.7325832Z frame #8: testing::Test::Run() + 0x1e8 (0x4286d8 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.7326534Z frame #9: testing::TestInfo::Run() + 0x210 (0x429a70 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.7327482Z frame #10: testing::TestSuite::Run() + 0x114 (0x42a354 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.7328487Z frame #11: testing::internal::UnitTestImpl::RunAllTests() + 0x556 (0x43c136 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.7330063Z frame #12: bool testing::internal::HandleExceptionsInMethodIfSupported<testing::internal::UnitTestImpl, bool>(testing::internal::UnitTestImpl*, bool (testing::internal::UnitTestImpl::*)(), char const*) + 0x44 (0x452224 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.7331365Z frame #13: testing::UnitTest::Run() + 0x4c (0x43bbac in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.7332247Z frame #14: main + 0x37 (0x41b667 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.7333016Z frame #15: __libc_start_main + 0xf0 (0x7fb81bba2840 in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.7333831Z frame #16: _start + 0x29 (0x416a99 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.7334198Z 
2022-05-18T03:47:11.7334359Z SIGABRT(6), PID: 1548, Thread 1549: 
2022-05-18T03:47:11.7335228Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.7336119Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7336923Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.7337717Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7338412Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.7338811Z 
2022-05-18T03:47:11.7338971Z SIGABRT(6), PID: 1548, Thread 1550: 
2022-05-18T03:47:11.7339810Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.7340668Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7341452Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.7342239Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7342930Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.7343219Z 
2022-05-18T03:47:11.7343379Z SIGABRT(6), PID: 1548, Thread 1551: 
2022-05-18T03:47:11.7344244Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.7345132Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7346074Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.7346860Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7347528Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.7347814Z 
2022-05-18T03:47:11.7347974Z SIGABRT(6), PID: 1548, Thread 1552: 
2022-05-18T03:47:11.7348846Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.7349727Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7350495Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.7351289Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7351978Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.7352266Z 
2022-05-18T03:47:11.7352411Z SIGABRT(6), PID: 1548, Thread 1553: 
2022-05-18T03:47:11.7353284Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.7354168Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7354956Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.7355731Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7356414Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.7356706Z 
2022-05-18T03:47:11.7356864Z SIGABRT(6), PID: 1548, Thread 1554: 
2022-05-18T03:47:11.7364165Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.7365048Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7365852Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.7366642Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7367327Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.7367615Z 
2022-05-18T03:47:11.7367758Z SIGABRT(6), PID: 1548, Thread 1555: 
2022-05-18T03:47:11.7368639Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.7369664Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7370463Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.7371233Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7371912Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.7372200Z 
2022-05-18T03:47:11.7372360Z SIGABRT(6), PID: 1548, Thread 1556: 
2022-05-18T03:47:11.7373229Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.7403957Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7404750Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.7405550Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7406341Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.7406619Z 
2022-05-18T03:47:11.7406933Z [       OK ] fatalSignalTest.SIGABRT8 (27 ms)
2022-05-18T03:47:11.7407471Z [ RUN      ] fatalSignalTest.SIGINT8
2022-05-18T03:47:11.7579590Z SIGINT(2), PID: 1557, Thread 1557: 
2022-05-18T03:47:11.7580563Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.7581466Z frame #1: c10::FatalSignalHandler::fatalSignalHandler(int) + 0x10a (0x7fb825332f0a in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.7582211Z frame #2: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7582825Z frame #3: raise + 0x29 (0x7fb81c736269 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7583502Z frame #4: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a41d]
2022-05-18T03:47:11.7584221Z frame #5: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41750c]
2022-05-18T03:47:11.7585036Z frame #6: fatalSignalTest_SIGINT8_Test::TestBody() + 0x68 (0x4175a8 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.7586210Z frame #7: void testing::internal::HandleExceptionsInMethodIfSupported<testing::Test, void>(testing::Test*, void (testing::Test::*)(), char const*) + 0x44 (0x4515b4 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.7587270Z frame #8: testing::Test::Run() + 0x1e8 (0x4286d8 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.7587956Z frame #9: testing::TestInfo::Run() + 0x210 (0x429a70 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.7588539Z frame #10: testing::TestSuite::Run() + 0x114 (0x42a354 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.7589116Z frame #11: testing::internal::UnitTestImpl::RunAllTests() + 0x556 (0x43c136 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.7590219Z frame #12: bool testing::internal::HandleExceptionsInMethodIfSupported<testing::internal::UnitTestImpl, bool>(testing::internal::UnitTestImpl*, bool (testing::internal::UnitTestImpl::*)(), char const*) + 0x44 (0x452224 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.7591529Z frame #13: testing::UnitTest::Run() + 0x4c (0x43bbac in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.7592420Z frame #14: main + 0x37 (0x41b667 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.7593449Z frame #15: __libc_start_main + 0xf0 (0x7fb81bba2840 in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.7594249Z frame #16: _start + 0x29 (0x416a99 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.7594620Z 
2022-05-18T03:47:11.7594781Z SIGINT(2), PID: 1557, Thread 1558: 
2022-05-18T03:47:11.7595646Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.7596529Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7597316Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.7598093Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7598764Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.7599033Z 
2022-05-18T03:47:11.7599261Z SIGINT(2), PID: 1557, Thread 1559: 
2022-05-18T03:47:11.7600088Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.7600986Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7601758Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.7602550Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7603432Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.7603723Z 
2022-05-18T03:47:11.7603864Z SIGINT(2), PID: 1557, Thread 1560: 
2022-05-18T03:47:11.7604741Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.7605640Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7606430Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.7607209Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7607895Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.7608182Z 
2022-05-18T03:47:11.7608342Z SIGINT(2), PID: 1557, Thread 1561: 
2022-05-18T03:47:11.7609215Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.7610078Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7610866Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.7611666Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7612351Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.7612624Z 
2022-05-18T03:47:11.7612788Z SIGINT(2), PID: 1557, Thread 1562: 
2022-05-18T03:47:11.7613653Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.7614538Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7615329Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.7616108Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7616791Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.7617178Z 
2022-05-18T03:47:11.7617334Z SIGINT(2), PID: 1557, Thread 1563: 
2022-05-18T03:47:11.7618193Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.7619084Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7619763Z frame #2: clone + 0x31 (0x7fb81bc894e1 in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.7620048Z 
2022-05-18T03:47:11.7658790Z SIGINT(2), PID: 1557, Thread 1564: 
2022-05-18T03:47:11.7660012Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.7661025Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7661958Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.7663146Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7663975Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.7664270Z 
2022-05-18T03:47:11.7664554Z SIGINT(2), PID: 1557, Thread 1565: 
2022-05-18T03:47:11.7665635Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.7666803Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7667709Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.7668638Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.7669470Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.7669893Z 
2022-05-18T03:47:11.7670204Z [       OK ] fatalSignalTest.SIGINT8 (26 ms)
2022-05-18T03:47:11.7670875Z [ RUN      ] fatalSignalTest.SIGILL8
2022-05-18T03:47:11.8001402Z SIGILL(4), PID: 1566, Thread 1566: 
2022-05-18T03:47:11.8002499Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8003687Z frame #1: c10::FatalSignalHandler::fatalSignalHandler(int) + 0x10a (0x7fb825332f0a in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8004463Z frame #2: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8005150Z frame #3: raise + 0x29 (0x7fb81c736269 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8005866Z frame #4: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a5bd]
2022-05-18T03:47:11.8006699Z frame #5: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41750c]
2022-05-18T03:47:11.8007687Z frame #6: fatalSignalTest_SIGILL8_Test::TestBody() + 0x68 (0x417d08 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8008970Z frame #7: void testing::internal::HandleExceptionsInMethodIfSupported<testing::Test, void>(testing::Test*, void (testing::Test::*)(), char const*) + 0x44 (0x4515b4 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8009751Z frame #8: testing::Test::Run() + 0x1e8 (0x4286d8 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8010268Z frame #9: testing::TestInfo::Run() + 0x210 (0x429a70 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8010804Z frame #10: testing::TestSuite::Run() + 0x114 (0x42a354 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8011545Z frame #11: testing::internal::UnitTestImpl::RunAllTests() + 0x556 (0x43c136 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8012401Z frame #12: bool testing::internal::HandleExceptionsInMethodIfSupported<testing::internal::UnitTestImpl, bool>(testing::internal::UnitTestImpl*, bool (testing::internal::UnitTestImpl::*)(), char const*) + 0x44 (0x452224 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8013120Z frame #13: testing::UnitTest::Run() + 0x4c (0x43bbac in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8013609Z frame #14: main + 0x37 (0x41b667 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8014046Z frame #15: __libc_start_main + 0xf0 (0x7fb81bba2840 in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8014505Z frame #16: _start + 0x29 (0x416a99 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8014801Z 
2022-05-18T03:47:11.8014947Z SIGILL(4), PID: 1566, Thread 1567: 
2022-05-18T03:47:11.8015809Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8016695Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8017490Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.8018274Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8018944Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8019237Z 
2022-05-18T03:47:11.8019395Z SIGILL(4), PID: 1566, Thread 1568: 
2022-05-18T03:47:11.8020272Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8021143Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8021923Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.8022703Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8023389Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8023674Z 
2022-05-18T03:47:11.8023814Z SIGILL(4), PID: 1566, Thread 1569: 
2022-05-18T03:47:11.8024685Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8025639Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8026327Z frame #2: clone + 0x31 (0x7fb81bc894e1 in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8026600Z 
2022-05-18T03:47:11.8026736Z SIGILL(4), PID: 1566, Thread 1570: 
2022-05-18T03:47:11.8027630Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8028510Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8029299Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.8030073Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8030756Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8031046Z 
2022-05-18T03:47:11.8031202Z SIGILL(4), PID: 1566, Thread 1571: 
2022-05-18T03:47:11.8032078Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8033044Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8033836Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.8034624Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8035297Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8035583Z 
2022-05-18T03:47:11.8035737Z SIGILL(4), PID: 1566, Thread 1572: 
2022-05-18T03:47:11.8036611Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8037491Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8038267Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.8039102Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8039788Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8040072Z 
2022-05-18T03:47:11.8040225Z SIGILL(4), PID: 1566, Thread 1573: 
2022-05-18T03:47:11.8041081Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8041961Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8042639Z frame #2: clone + 0x31 (0x7fb81bc894e1 in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8043075Z 
2022-05-18T03:47:11.8043237Z SIGILL(4), PID: 1566, Thread 1574: 
2022-05-18T03:47:11.8044101Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8044993Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8045658Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.8046109Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8046488Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8046656Z 
2022-05-18T03:47:11.8046834Z [       OK ] fatalSignalTest.SIGILL8 (42 ms)
2022-05-18T03:47:11.8047145Z [ RUN      ] fatalSignalTest.SIGFPE8
2022-05-18T03:47:11.8290884Z SIGFPE(8), PID: 1575, Thread 1575: 
2022-05-18T03:47:11.8291849Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8292687Z frame #1: c10::FatalSignalHandler::fatalSignalHandler(int) + 0x10a (0x7fb825332f0a in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8293426Z frame #2: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8294035Z frame #3: raise + 0x29 (0x7fb81c736269 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8294904Z frame #4: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a75d]
2022-05-18T03:47:11.8295790Z frame #5: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41750c]
2022-05-18T03:47:11.8296733Z frame #6: fatalSignalTest_SIGFPE8_Test::TestBody() + 0x68 (0x418468 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8297494Z frame #7: void testing::internal::HandleExceptionsInMethodIfSupported<testing::Test, void>(testing::Test*, void (testing::Test::*)(), char const*) + 0x44 (0x4515b4 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8298316Z frame #8: testing::Test::Run() + 0x1e8 (0x4286d8 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8298836Z frame #9: testing::TestInfo::Run() + 0x210 (0x429a70 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8299372Z frame #10: testing::TestSuite::Run() + 0x114 (0x42a354 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8299946Z frame #11: testing::internal::UnitTestImpl::RunAllTests() + 0x556 (0x43c136 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8300799Z frame #12: bool testing::internal::HandleExceptionsInMethodIfSupported<testing::internal::UnitTestImpl, bool>(testing::internal::UnitTestImpl*, bool (testing::internal::UnitTestImpl::*)(), char const*) + 0x44 (0x452224 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8301939Z frame #13: testing::UnitTest::Run() + 0x4c (0x43bbac in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8302845Z frame #14: main + 0x37 (0x41b667 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8303607Z frame #15: __libc_start_main + 0xf0 (0x7fb81bba2840 in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8304414Z frame #16: _start + 0x29 (0x416a99 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8304786Z 
2022-05-18T03:47:11.8304929Z SIGFPE(8), PID: 1575, Thread 1576: 
2022-05-18T03:47:11.8305872Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8306748Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8307542Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.8308318Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8309001Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8309291Z 
2022-05-18T03:47:11.8309452Z SIGFPE(8), PID: 1575, Thread 1577: 
2022-05-18T03:47:11.8310329Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8311200Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8311982Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.8312762Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8313454Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8313724Z 
2022-05-18T03:47:11.8313863Z SIGFPE(8), PID: 1575, Thread 1578: 
2022-05-18T03:47:11.8314712Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8315571Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8316372Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.8317148Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8317839Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8318131Z 
2022-05-18T03:47:11.8318291Z SIGFPE(8), PID: 1575, Thread 1579: 
2022-05-18T03:47:11.8319247Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8320130Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8320909Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.8321698Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8322360Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8322648Z 
2022-05-18T03:47:11.8322805Z SIGFPE(8), PID: 1575, Thread 1580: 
2022-05-18T03:47:11.8323856Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8324740Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8325596Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.8326387Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8327069Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8327359Z 
2022-05-18T03:47:11.8327515Z SIGFPE(8), PID: 1575, Thread 1581: 
2022-05-18T03:47:11.8328374Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8329255Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8330037Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.8330811Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8331496Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8331796Z 
2022-05-18T03:47:11.8331955Z SIGFPE(8), PID: 1575, Thread 1582: 
2022-05-18T03:47:11.8332822Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8333695Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8334369Z frame #2: clone + 0x31 (0x7fb81bc894e1 in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8334657Z 
2022-05-18T03:47:11.8334815Z SIGFPE(8), PID: 1575, Thread 1583: 
2022-05-18T03:47:11.8335687Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8336548Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8337231Z frame #2: clone + 0x31 (0x7fb81bc894e1 in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8337516Z 
2022-05-18T03:47:11.8337820Z [       OK ] fatalSignalTest.SIGFPE8 (28 ms)
2022-05-18T03:47:11.8338358Z [ RUN      ] fatalSignalTest.SIGBUS8
2022-05-18T03:47:11.8631582Z SIGBUS(7), PID: 1584, Thread 1584: 
2022-05-18T03:47:11.8632588Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8633654Z frame #1: c10::FatalSignalHandler::fatalSignalHandler(int) + 0x10a (0x7fb825332f0a in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8634584Z frame #2: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8635156Z frame #3: raise + 0x29 (0x7fb81c736269 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8635810Z frame #4: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a8fd]
2022-05-18T03:47:11.8636830Z frame #5: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41750c]
2022-05-18T03:47:11.8637584Z frame #6: fatalSignalTest_SIGBUS8_Test::TestBody() + 0x68 (0x418bc8 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8638331Z frame #7: void testing::internal::HandleExceptionsInMethodIfSupported<testing::Test, void>(testing::Test*, void (testing::Test::*)(), char const*) + 0x44 (0x4515b4 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8639005Z frame #8: testing::Test::Run() + 0x1e8 (0x4286d8 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8639540Z frame #9: testing::TestInfo::Run() + 0x210 (0x429a70 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8640080Z frame #10: testing::TestSuite::Run() + 0x114 (0x42a354 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8640739Z frame #11: testing::internal::UnitTestImpl::RunAllTests() + 0x556 (0x43c136 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8641586Z frame #12: bool testing::internal::HandleExceptionsInMethodIfSupported<testing::internal::UnitTestImpl, bool>(testing::internal::UnitTestImpl*, bool (testing::internal::UnitTestImpl::*)(), char const*) + 0x44 (0x452224 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8642313Z frame #13: testing::UnitTest::Run() + 0x4c (0x43bbac in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8642815Z frame #14: main + 0x37 (0x41b667 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8643433Z frame #15: __libc_start_main + 0xf0 (0x7fb81bba2840 in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8643882Z frame #16: _start + 0x29 (0x416a99 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.8644093Z 
2022-05-18T03:47:11.8644188Z SIGBUS(7), PID: 1584, Thread 1585: 
2022-05-18T03:47:11.8644687Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8645563Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8646331Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.8647120Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8647810Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8648105Z 
2022-05-18T03:47:11.8648259Z SIGBUS(7), PID: 1584, Thread 1586: 
2022-05-18T03:47:11.8649119Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8650001Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8650786Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.8651573Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8652239Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8652532Z 
2022-05-18T03:47:11.8652688Z SIGBUS(7), PID: 1584, Thread 1587: 
2022-05-18T03:47:11.8653559Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8654510Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8655296Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.8656117Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8656763Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8657052Z 
2022-05-18T03:47:11.8657205Z SIGBUS(7), PID: 1584, Thread 1588: 
2022-05-18T03:47:11.8658026Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8658912Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8659704Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.8660501Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8661255Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8661544Z 
2022-05-18T03:47:11.8661699Z SIGBUS(7), PID: 1584, Thread 1589: 
2022-05-18T03:47:11.8662585Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8663463Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8664134Z frame #2: clone + 0x31 (0x7fb81bc894e1 in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8664420Z 
2022-05-18T03:47:11.8664574Z SIGBUS(7), PID: 1584, Thread 1590: 
2022-05-18T03:47:11.8665526Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8666410Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8667092Z frame #2: clone + 0x31 (0x7fb81bc894e1 in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8667378Z 
2022-05-18T03:47:11.8667535Z SIGBUS(7), PID: 1584, Thread 1591: 
2022-05-18T03:47:11.8668402Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8669270Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8670063Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.8670851Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8671536Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8671808Z 
2022-05-18T03:47:11.8671967Z SIGBUS(7), PID: 1584, Thread 1592: 
2022-05-18T03:47:11.8672833Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.8673712Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.8674385Z frame #2: clone + 0x31 (0x7fb81bc894e1 in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.8674655Z 
2022-05-18T03:47:11.8674964Z [       OK ] fatalSignalTest.SIGBUS8 (33 ms)
2022-05-18T03:47:11.8675508Z [ RUN      ] fatalSignalTest.SIGSEGV8
2022-05-18T03:47:11.9169519Z SIGSEGV(11), PID: 1593, Thread 1593: 
2022-05-18T03:47:11.9170930Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.9171731Z frame #1: c10::FatalSignalHandler::fatalSignalHandler(int) + 0x10a (0x7fb825332f0a in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.9172386Z frame #2: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.9172805Z frame #3: raise + 0x29 (0x7fb81c736269 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.9173241Z frame #4: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41aa9d]
2022-05-18T03:47:11.9173708Z frame #5: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41750c]
2022-05-18T03:47:11.9174242Z frame #6: fatalSignalTest_SIGSEGV8_Test::TestBody() + 0x68 (0x419328 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.9175018Z frame #7: void testing::internal::HandleExceptionsInMethodIfSupported<testing::Test, void>(testing::Test*, void (testing::Test::*)(), char const*) + 0x44 (0x4515b4 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.9175780Z frame #8: testing::Test::Run() + 0x1e8 (0x4286d8 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.9176373Z frame #9: testing::TestInfo::Run() + 0x210 (0x429a70 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.9176912Z frame #10: testing::TestSuite::Run() + 0x114 (0x42a354 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.9177479Z frame #11: testing::internal::UnitTestImpl::RunAllTests() + 0x556 (0x43c136 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.9178342Z frame #12: bool testing::internal::HandleExceptionsInMethodIfSupported<testing::internal::UnitTestImpl, bool>(testing::internal::UnitTestImpl*, bool (testing::internal::UnitTestImpl::*)(), char const*) + 0x44 (0x452224 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.9179065Z frame #13: testing::UnitTest::Run() + 0x4c (0x43bbac in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.9179578Z frame #14: main + 0x37 (0x41b667 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.9180003Z frame #15: __libc_start_main + 0xf0 (0x7fb81bba2840 in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.9180465Z frame #16: _start + 0x29 (0x416a99 in /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test)
2022-05-18T03:47:11.9180679Z 
2022-05-18T03:47:11.9180778Z SIGSEGV(11), PID: 1593, Thread 1594: 
2022-05-18T03:47:11.9181382Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.9182255Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.9183046Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.9183821Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.9184225Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.9184397Z 
2022-05-18T03:47:11.9184481Z SIGSEGV(11), PID: 1593, Thread 1595: 
2022-05-18T03:47:11.9184984Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.9185616Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.9186062Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.9186509Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.9186888Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.9187121Z 
2022-05-18T03:47:11.9187217Z SIGSEGV(11), PID: 1593, Thread 1596: 
2022-05-18T03:47:11.9187718Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.9188223Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.9188655Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.9189105Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.9189502Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.9189678Z 
2022-05-18T03:47:11.9189764Z SIGSEGV(11), PID: 1593, Thread 1597: 
2022-05-18T03:47:11.9207377Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.9208060Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.9208519Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.9208973Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.9209352Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.9209522Z 
2022-05-18T03:47:11.9209620Z SIGSEGV(11), PID: 1593, Thread 1598: 
2022-05-18T03:47:11.9210116Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.9210610Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.9210989Z frame #2: clone + 0x31 (0x7fb81bc894e1 in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.9211159Z 
2022-05-18T03:47:11.9211255Z SIGSEGV(11), PID: 1593, Thread 1599: 
2022-05-18T03:47:11.9211755Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.9212257Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.9212691Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.9213137Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.9213531Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.9213697Z 
2022-05-18T03:47:11.9213780Z SIGSEGV(11), PID: 1593, Thread 1600: 
2022-05-18T03:47:11.9214276Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.9214789Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.9215240Z frame #2: /opt/conda/lib/python3.7/site-packages/torch/test/fatal_signal_asan_no_sig_test() [0x41a320]
2022-05-18T03:47:11.9215669Z frame #3: <unknown function> + 0x76ba (0x7fb81c72c6ba in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.9216062Z frame #4: clone + 0x6d (0x7fb81bc8951d in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.9216232Z 
2022-05-18T03:47:11.9216327Z SIGSEGV(11), PID: 1593, Thread 1601: 
2022-05-18T03:47:11.9216817Z  frame #0: c10::FatalSignalHandler::stacktraceSignalHandler(bool) + 0x50 (0x7fb825332bd0 in /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so)
2022-05-18T03:47:11.9217302Z frame #1: <unknown function> + 0x11390 (0x7fb81c736390 in /lib/x86_64-linux-gnu/libpthread.so.0)
2022-05-18T03:47:11.9217687Z frame #2: clone + 0x31 (0x7fb81bc894e1 in /lib/x86_64-linux-gnu/libc.so.6)
2022-05-18T03:47:11.9217920Z 
2022-05-18T03:47:11.9218100Z [       OK ] fatalSignalTest.SIGSEGV8 (53 ms)
2022-05-18T03:47:11.9218437Z [ RUN      ] fatalSignalTest.SIGABRT8_NOPRINT
2022-05-18T03:47:11.9424453Z [       OK ] fatalSignalTest.SIGABRT8_NOPRINT (25 ms)
2022-05-18T03:47:11.9424846Z [----------] 7 tests from fatalSignalTest (237 ms total)
2022-05-18T03:47:11.9425020Z 
2022-05-18T03:47:11.9425269Z [----------] Global test environment tear-down
2022-05-18T03:47:11.9427163Z [==========] 7 tests from 1 test suite ran. (237 ms total)
2022-05-18T03:47:11.9427428Z [  PASSED  ] 7 tests.
2022-05-18T03:47:11.9904559Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:11.9904829Z + case "$test" in
2022-05-18T03:47:11.9907390Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/fixed_divisor_test
2022-05-18T03:47:11.9912530Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:11.9913314Z + /opt/conda/lib/python3.7/site-packages/torch/test/fixed_divisor_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/fixed_divisor_test.xml
2022-05-18T03:47:12.1620186Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:12.1620871Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:47:12.1621195Z [----------] Global test environment set-up.
2022-05-18T03:47:12.1621522Z [----------] 1 test from FixedDivisorTest
2022-05-18T03:47:12.1621880Z [ RUN      ] FixedDivisorTest.FixedDivisorInt32Test
2022-05-18T03:47:12.1760989Z [       OK ] FixedDivisorTest.FixedDivisorInt32Test (14 ms)
2022-05-18T03:47:12.1761686Z [----------] 1 test from FixedDivisorTest (14 ms total)
2022-05-18T03:47:12.1761916Z 
2022-05-18T03:47:12.1762118Z [----------] Global test environment tear-down
2022-05-18T03:47:12.1762728Z [==========] 1 test from 1 test suite ran. (14 ms total)
2022-05-18T03:47:12.1763245Z [  PASSED  ] 1 test.
2022-05-18T03:47:12.2158432Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:12.2158746Z + case "$test" in
2022-05-18T03:47:12.2163613Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/generate_proposals_op_test
2022-05-18T03:47:12.2169089Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:12.2169796Z + /opt/conda/lib/python3.7/site-packages/torch/test/generate_proposals_op_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/generate_proposals_op_test.xml
2022-05-18T03:47:12.3886707Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:12.3887423Z [==========] Running 8 tests from 1 test suite.
2022-05-18T03:47:12.3887968Z [----------] Global test environment set-up.
2022-05-18T03:47:12.3888551Z [----------] 8 tests from GenerateProposalsTest
2022-05-18T03:47:12.3889000Z [ RUN      ] GenerateProposalsTest.TestComputeAllAnchors
2022-05-18T03:47:12.3889459Z [       OK ] GenerateProposalsTest.TestComputeAllAnchors (0 ms)
2022-05-18T03:47:12.3889976Z [ RUN      ] GenerateProposalsTest.TestComputeSortedAnchors
2022-05-18T03:47:12.3890439Z [       OK ] GenerateProposalsTest.TestComputeSortedAnchors (0 ms)
2022-05-18T03:47:12.3891047Z [ RUN      ] GenerateProposalsTest.TestComputeAllAnchorsRotated
2022-05-18T03:47:12.3891687Z [       OK ] GenerateProposalsTest.TestComputeAllAnchorsRotated (0 ms)
2022-05-18T03:47:12.3892229Z [ RUN      ] GenerateProposalsTest.TestComputeSortedAnchorsRotated
2022-05-18T03:47:12.3892732Z [       OK ] GenerateProposalsTest.TestComputeSortedAnchorsRotated (0 ms)
2022-05-18T03:47:12.3893220Z [ RUN      ] GenerateProposalsTest.TestEmpty
2022-05-18T03:47:12.3893612Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:12.3894285Z [       OK ] GenerateProposalsTest.TestEmpty (0 ms)
2022-05-18T03:47:12.3894833Z [ RUN      ] GenerateProposalsTest.TestRealDownSampled
2022-05-18T03:47:12.3895411Z [       OK ] GenerateProposalsTest.TestRealDownSampled (0 ms)
2022-05-18T03:47:12.3895938Z [ RUN      ] GenerateProposalsTest.TestRealDownSampledRotatedAngle0
2022-05-18T03:47:12.3897156Z [       OK ] GenerateProposalsTest.TestRealDownSampledRotatedAngle0 (0 ms)
2022-05-18T03:47:12.3897806Z [ RUN      ] GenerateProposalsTest.TestRealDownSampledRotated
2022-05-18T03:47:12.3898740Z [       OK ] GenerateProposalsTest.TestRealDownSampledRotated (0 ms)
2022-05-18T03:47:12.3899284Z [----------] 8 tests from GenerateProposalsTest (1 ms total)
2022-05-18T03:47:12.3899475Z 
2022-05-18T03:47:12.3899656Z [----------] Global test environment tear-down
2022-05-18T03:47:12.3902328Z [==========] 8 tests from 1 test suite ran. (1 ms total)
2022-05-18T03:47:12.3902616Z [  PASSED  ] 8 tests.
2022-05-18T03:47:12.4287080Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:12.4287501Z + case "$test" in
2022-05-18T03:47:12.4289679Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/generate_proposals_op_util_boxes_test
2022-05-18T03:47:12.4295069Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:12.4295754Z + /opt/conda/lib/python3.7/site-packages/torch/test/generate_proposals_op_util_boxes_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/generate_proposals_op_util_boxes_test.xml
2022-05-18T03:47:12.5992068Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:12.5992715Z [==========] Running 4 tests from 1 test suite.
2022-05-18T03:47:12.5993064Z [----------] Global test environment set-up.
2022-05-18T03:47:12.5993462Z [----------] 4 tests from UtilsBoxesTest
2022-05-18T03:47:12.5993906Z [ RUN      ] UtilsBoxesTest.TestBboxTransformRandom
2022-05-18T03:47:12.5994382Z [       OK ] UtilsBoxesTest.TestBboxTransformRandom (0 ms)
2022-05-18T03:47:12.5994882Z [ RUN      ] UtilsBoxesTest.TestBboxTransformRotated
2022-05-18T03:47:12.5995286Z [       OK ] UtilsBoxesTest.TestBboxTransformRotated (0 ms)
2022-05-18T03:47:12.5995707Z [ RUN      ] UtilsBoxesTest.TestBboxTransformRotatedNormalized
2022-05-18T03:47:12.5996175Z [       OK ] UtilsBoxesTest.TestBboxTransformRotatedNormalized (0 ms)
2022-05-18T03:47:12.5996576Z [ RUN      ] UtilsBoxesTest.ClipRotatedBoxes
2022-05-18T03:47:12.5996930Z [       OK ] UtilsBoxesTest.ClipRotatedBoxes (0 ms)
2022-05-18T03:47:12.5997276Z [----------] 4 tests from UtilsBoxesTest (0 ms total)
2022-05-18T03:47:12.5997441Z 
2022-05-18T03:47:12.5997622Z [----------] Global test environment tear-down
2022-05-18T03:47:12.5997956Z [==========] 4 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:47:12.5998216Z [  PASSED  ] 4 tests.
2022-05-18T03:47:12.6405927Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:12.6406280Z + case "$test" in
2022-05-18T03:47:12.6408533Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/generate_proposals_op_util_nms_test
2022-05-18T03:47:12.6413844Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:12.6414710Z + /opt/conda/lib/python3.7/site-packages/torch/test/generate_proposals_op_util_nms_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/generate_proposals_op_util_nms_test.xml
2022-05-18T03:47:12.8118752Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:12.8119284Z [==========] Running 6 tests from 1 test suite.
2022-05-18T03:47:12.8119698Z [----------] Global test environment set-up.
2022-05-18T03:47:12.8120519Z [----------] 6 tests from UtilsNMSTest
2022-05-18T03:47:12.8120816Z [ RUN      ] UtilsNMSTest.TestNMS
2022-05-18T03:47:12.8121225Z [       OK ] UtilsNMSTest.TestNMS (0 ms)
2022-05-18T03:47:12.8121692Z [ RUN      ] UtilsNMSTest.TestNMS1
2022-05-18T03:47:12.8122126Z [       OK ] UtilsNMSTest.TestNMS1 (0 ms)
2022-05-18T03:47:12.8122480Z [ RUN      ] UtilsNMSTest.TestSoftNMS
2022-05-18T03:47:12.8123058Z [       OK ] UtilsNMSTest.TestSoftNMS (0 ms)
2022-05-18T03:47:12.8123469Z [ RUN      ] UtilsNMSTest.TestNMSRotatedAngle0
2022-05-18T03:47:12.8123849Z [       OK ] UtilsNMSTest.TestNMSRotatedAngle0 (0 ms)
2022-05-18T03:47:12.8124277Z [ RUN      ] UtilsNMSTest.TestSoftNMSRotatedAngle0
2022-05-18T03:47:12.8124700Z [       OK ] UtilsNMSTest.TestSoftNMSRotatedAngle0 (0 ms)
2022-05-18T03:47:12.8125256Z [ RUN      ] UtilsNMSTest.RotatedBBoxOverlaps
2022-05-18T03:47:12.8125678Z [       OK ] UtilsNMSTest.RotatedBBoxOverlaps (0 ms)
2022-05-18T03:47:12.8126131Z [----------] 6 tests from UtilsNMSTest (0 ms total)
2022-05-18T03:47:12.8126405Z 
2022-05-18T03:47:12.8126589Z [----------] Global test environment tear-down
2022-05-18T03:47:12.8126921Z [==========] 6 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:47:12.8127176Z [  PASSED  ] 6 tests.
2022-05-18T03:47:12.8509788Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:12.8510025Z + case "$test" in
2022-05-18T03:47:12.8512549Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/graph_test
2022-05-18T03:47:12.8518782Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:12.8519335Z + /opt/conda/lib/python3.7/site-packages/torch/test/graph_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/graph_test.xml
2022-05-18T03:47:13.0228600Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:13.0229470Z [==========] Running 5 tests from 1 test suite.
2022-05-18T03:47:13.0229800Z [----------] Global test environment set-up.
2022-05-18T03:47:13.0230191Z [----------] 5 tests from GraphTest
2022-05-18T03:47:13.0230502Z [ RUN      ] GraphTest.TestGenerateGraphChain
2022-05-18T03:47:13.0230966Z [       OK ] GraphTest.TestGenerateGraphChain (0 ms)
2022-05-18T03:47:13.0231459Z [ RUN      ] GraphTest.TestGenerateGraphChainInPlace
2022-05-18T03:47:13.0231944Z [       OK ] GraphTest.TestGenerateGraphChainInPlace (0 ms)
2022-05-18T03:47:13.0232322Z [ RUN      ] GraphTest.TestGenerateGraphBranch
2022-05-18T03:47:13.0232770Z [       OK ] GraphTest.TestGenerateGraphBranch (0 ms)
2022-05-18T03:47:13.0233095Z [ RUN      ] GraphTest.TestReusedInputs
2022-05-18T03:47:13.0233511Z [       OK ] GraphTest.TestReusedInputs (0 ms)
2022-05-18T03:47:13.0233831Z [ RUN      ] GraphTest.TestGetPerimeter
2022-05-18T03:47:13.0234249Z [       OK ] GraphTest.TestGetPerimeter (0 ms)
2022-05-18T03:47:13.0234574Z [----------] 5 tests from GraphTest (0 ms total)
2022-05-18T03:47:13.0234728Z 
2022-05-18T03:47:13.0234980Z [----------] Global test environment tear-down
2022-05-18T03:47:13.0235303Z [==========] 5 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:47:13.0235579Z [  PASSED  ] 5 tests.
2022-05-18T03:47:13.0627246Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:13.0627669Z + case "$test" in
2022-05-18T03:47:13.0629997Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/half_float_ops_test
2022-05-18T03:47:13.0635639Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:13.0636217Z + /opt/conda/lib/python3.7/site-packages/torch/test/half_float_ops_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/half_float_ops_test.xml
2022-05-18T03:47:13.2352605Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:13.2353175Z [==========] Running 2 tests from 1 test suite.
2022-05-18T03:47:13.2353498Z [----------] Global test environment set-up.
2022-05-18T03:47:13.2353800Z [----------] 2 tests from Float16
2022-05-18T03:47:13.2354153Z [ RUN      ] Float16.SimpleTest
2022-05-18T03:47:13.2354960Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:13.2356019Z [       OK ] Float16.SimpleTest (0 ms)
2022-05-18T03:47:13.2356406Z [ RUN      ] Float16.UniformDistributionTest
2022-05-18T03:47:14.5762254Z [       OK ] Float16.UniformDistributionTest (1340 ms)
2022-05-18T03:47:14.5762881Z [----------] 2 tests from Float16 (1340 ms total)
2022-05-18T03:47:14.5763251Z 
2022-05-18T03:47:14.5763448Z [----------] Global test environment tear-down
2022-05-18T03:47:14.5763787Z [==========] 2 tests from 1 test suite ran. (1340 ms total)
2022-05-18T03:47:14.5764148Z [  PASSED  ] 2 tests.
2022-05-18T03:47:14.6180397Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:14.6180732Z + case "$test" in
2022-05-18T03:47:14.6182002Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/half_test
2022-05-18T03:47:14.6188375Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:14.6188918Z + /opt/conda/lib/python3.7/site-packages/torch/test/half_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/half_test.xml
2022-05-18T03:47:14.7893965Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:14.7894757Z [==========] Running 8 tests from 1 test suite.
2022-05-18T03:47:14.7895331Z [----------] Global test environment set-up.
2022-05-18T03:47:14.7895835Z [----------] 8 tests from TestHalf
2022-05-18T03:47:14.7896351Z [ RUN      ] TestHalf.Arithmetic
2022-05-18T03:47:14.7896808Z [       OK ] TestHalf.Arithmetic (0 ms)
2022-05-18T03:47:14.7897136Z [ RUN      ] TestHalf.Comparisions
2022-05-18T03:47:14.7897440Z [       OK ] TestHalf.Comparisions (0 ms)
2022-05-18T03:47:14.7897712Z [ RUN      ] TestHalf.Cast
2022-05-18T03:47:14.7897964Z [       OK ] TestHalf.Cast (0 ms)
2022-05-18T03:47:14.7898297Z [ RUN      ] TestHalf.Construction
2022-05-18T03:47:14.7898597Z [       OK ] TestHalf.Construction (0 ms)
2022-05-18T03:47:14.7898875Z [ RUN      ] TestHalf.Half2String
2022-05-18T03:47:14.7899254Z [       OK ] TestHalf.Half2String (0 ms)
2022-05-18T03:47:14.7899558Z [ RUN      ] TestHalf.HalfNumericLimits
2022-05-18T03:47:14.7899948Z [       OK ] TestHalf.HalfNumericLimits (0 ms)
2022-05-18T03:47:14.7900236Z [ RUN      ] TestHalf.CommonMath
2022-05-18T03:47:14.7900554Z [       OK ] TestHalf.CommonMath (0 ms)
2022-05-18T03:47:14.7900886Z [ RUN      ] TestHalf.ComplexHalf
2022-05-18T03:47:14.7901172Z [       OK ] TestHalf.ComplexHalf (0 ms)
2022-05-18T03:47:14.7901561Z [----------] 8 tests from TestHalf (0 ms total)
2022-05-18T03:47:14.7901716Z 
2022-05-18T03:47:14.7901896Z [----------] Global test environment tear-down
2022-05-18T03:47:14.7902278Z [==========] 8 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:47:14.7902550Z [  PASSED  ] 8 tests.
2022-05-18T03:47:14.8287605Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:14.8287845Z + case "$test" in
2022-05-18T03:47:14.8290294Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/init_test
2022-05-18T03:47:14.8296125Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:14.8296756Z + /opt/conda/lib/python3.7/site-packages/torch/test/init_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/init_test.xml
2022-05-18T03:47:15.0020698Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:15.0021417Z [==========] Running 3 tests from 1 test suite.
2022-05-18T03:47:15.0021914Z [----------] Global test environment set-up.
2022-05-18T03:47:15.0022428Z [----------] 3 tests from InitTest
2022-05-18T03:47:15.0022972Z [ RUN      ] InitTest.TestInitFunctionHasRun
2022-05-18T03:47:15.0023666Z [E init_intrinsics_check.cc:43] CPU feature avx is present on your machine, but the Caffe2 binary is not compiled with it. It means you may not get the full speed of your CPU.
2022-05-18T03:47:15.0024469Z [E init_intrinsics_check.cc:43] CPU feature avx2 is present on your machine, but the Caffe2 binary is not compiled with it. It means you may not get the full speed of your CPU.
2022-05-18T03:47:15.0025346Z [E init_intrinsics_check.cc:43] CPU feature fma is present on your machine, but the Caffe2 binary is not compiled with it. It means you may not get the full speed of your CPU.
2022-05-18T03:47:15.0208059Z [       OK ] InitTest.TestInitFunctionHasRun (18 ms)
2022-05-18T03:47:15.0208449Z [ RUN      ] InitTest.CanRerunGlobalInit
2022-05-18T03:47:15.0208798Z [       OK ] InitTest.CanRerunGlobalInit (0 ms)
2022-05-18T03:47:15.0209145Z [ RUN      ] InitTest.FailLateRegisterInitFunction
2022-05-18T03:47:15.0209561Z [W init.h:34] Running init function after GlobalInit: This should succeed but warn
2022-05-18T03:47:15.0210298Z [W init.h:34] Running init function after GlobalInit: This should fail for failed init
2022-05-18T03:47:15.0212081Z [       OK ] InitTest.FailLateRegisterInitFunction (0 ms)
2022-05-18T03:47:15.0212725Z [----------] 3 tests from InitTest (19 ms total)
2022-05-18T03:47:15.0213007Z 
2022-05-18T03:47:15.0213217Z [----------] Global test environment tear-down
2022-05-18T03:47:15.0214787Z [==========] 3 tests from 1 test suite ran. (19 ms total)
2022-05-18T03:47:15.0215297Z [  PASSED  ] 3 tests.
2022-05-18T03:47:15.0623229Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:15.0623664Z + case "$test" in
2022-05-18T03:47:15.0626083Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/inline_container_test
2022-05-18T03:47:15.0631447Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:15.0644190Z + /opt/conda/lib/python3.7/site-packages/torch/test/inline_container_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/inline_container_test.xml
2022-05-18T03:47:15.2336273Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:15.2336932Z [==========] Running 2 tests from 2 test suites.
2022-05-18T03:47:15.2337354Z [----------] Global test environment set-up.
2022-05-18T03:47:15.2337970Z [----------] 1 test from PyTorchStreamWriterAndReader
2022-05-18T03:47:15.2338542Z [ RUN      ] PyTorchStreamWriterAndReader.SaveAndLoad
2022-05-18T03:47:15.2338976Z [       OK ] PyTorchStreamWriterAndReader.SaveAndLoad (0 ms)
2022-05-18T03:47:15.2339475Z [----------] 1 test from PyTorchStreamWriterAndReader (0 ms total)
2022-05-18T03:47:15.2339672Z 
2022-05-18T03:47:15.2339873Z [----------] 1 test from PytorchStreamWriterAndReader
2022-05-18T03:47:15.2340375Z [ RUN      ] PytorchStreamWriterAndReader.GetNonexistentRecordThrows
2022-05-18T03:47:15.2356181Z [       OK ] PytorchStreamWriterAndReader.GetNonexistentRecordThrows (1 ms)
2022-05-18T03:47:15.2356722Z [----------] 1 test from PytorchStreamWriterAndReader (1 ms total)
2022-05-18T03:47:15.2356923Z 
2022-05-18T03:47:15.2357189Z [----------] Global test environment tear-down
2022-05-18T03:47:15.2358206Z [==========] 2 tests from 2 test suites ran. (2 ms total)
2022-05-18T03:47:15.2358482Z [  PASSED  ] 2 tests.
2022-05-18T03:47:15.2758220Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:15.2758626Z + case "$test" in
2022-05-18T03:47:15.2760424Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/int8_roi_align_op_test
2022-05-18T03:47:15.2766156Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:15.2766751Z + /opt/conda/lib/python3.7/site-packages/torch/test/int8_roi_align_op_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/int8_roi_align_op_test.xml
2022-05-18T03:47:15.4473959Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:15.4474584Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:47:15.4474911Z [----------] Global test environment set-up.
2022-05-18T03:47:15.4475234Z [----------] 1 test from Int8RoIAlign
2022-05-18T03:47:15.4475566Z [ RUN      ] Int8RoIAlign.RoIAlign
2022-05-18T03:47:15.4496443Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:15.4515262Z [       OK ] Int8RoIAlign.RoIAlign (3 ms)
2022-05-18T03:47:15.4515925Z [----------] 1 test from Int8RoIAlign (3 ms total)
2022-05-18T03:47:15.4516193Z 
2022-05-18T03:47:15.4516508Z [----------] Global test environment tear-down
2022-05-18T03:47:15.4517084Z [==========] 1 test from 1 test suite ran. (3 ms total)
2022-05-18T03:47:15.4517553Z [  PASSED  ] 1 test.
2022-05-18T03:47:15.5041062Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:15.5041450Z + case "$test" in
2022-05-18T03:47:15.5043224Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/int8_test
2022-05-18T03:47:15.5048660Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:15.5049493Z + /opt/conda/lib/python3.7/site-packages/torch/test/int8_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/int8_test.xml
2022-05-18T03:47:15.6759576Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:15.6760284Z [==========] Running 24 tests from 1 test suite.
2022-05-18T03:47:15.6760604Z [----------] Global test environment set-up.
2022-05-18T03:47:15.6760889Z [----------] 24 tests from Int8
2022-05-18T03:47:15.6761142Z [ RUN      ] Int8.ReLU
2022-05-18T03:47:15.6809389Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:15.6853812Z [       OK ] Int8.ReLU (9 ms)
2022-05-18T03:47:15.6854052Z [ RUN      ] Int8.Softmax
2022-05-18T03:47:15.6875260Z [       OK ] Int8.Softmax (2 ms)
2022-05-18T03:47:15.6875651Z [ RUN      ] Int8.Sigmoid
2022-05-18T03:47:15.6875949Z [       OK ] Int8.Sigmoid (0 ms)
2022-05-18T03:47:15.6876200Z [ RUN      ] Int8.MaxPool
2022-05-18T03:47:15.6883568Z [       OK ] Int8.MaxPool (0 ms)
2022-05-18T03:47:15.6883891Z [ RUN      ] Int8.AveragePool
2022-05-18T03:47:15.6889597Z [       OK ] Int8.AveragePool (0 ms)
2022-05-18T03:47:15.6889952Z [ RUN      ] Int8.ResizeNearest
2022-05-18T03:47:15.6904375Z [       OK ] Int8.ResizeNearest (1 ms)
2022-05-18T03:47:15.6904679Z [ RUN      ] Int8.ChannelShuffle
2022-05-18T03:47:15.6948319Z [       OK ] Int8.ChannelShuffle (4 ms)
2022-05-18T03:47:15.6948820Z [ RUN      ] Int8.Concat
2022-05-18T03:47:15.6978032Z [       OK ] Int8.Concat (2 ms)
2022-05-18T03:47:15.6978465Z [ RUN      ] Int8.Add
2022-05-18T03:47:15.6981899Z [       OK ] Int8.Add (0 ms)
2022-05-18T03:47:15.6982333Z [ RUN      ] Int8.SumRelu
2022-05-18T03:47:15.6985140Z [       OK ] Int8.SumRelu (0 ms)
2022-05-18T03:47:15.6985762Z [ RUN      ] Int8.Conv
2022-05-18T03:47:15.6988669Z [       OK ] Int8.Conv (0 ms)
2022-05-18T03:47:15.6989108Z [ RUN      ] Int8.Grouped1x1Conv
2022-05-18T03:47:15.6992558Z [       OK ] Int8.Grouped1x1Conv (0 ms)
2022-05-18T03:47:15.6993060Z [ RUN      ] Int8.Conv2
2022-05-18T03:47:15.6993745Z Note (QNNPACK): inefficiency in convolution with 2x2 kernel and 3x1 subsampling: width subsampling is greater than kernel width; subsampling should be performed before the convolution
2022-05-18T03:47:15.6994466Z [       OK ] Int8.Conv2 (0 ms)
2022-05-18T03:47:15.6994942Z [ RUN      ] Int8.DepthwiseConv
2022-05-18T03:47:15.6997204Z [       OK ] Int8.DepthwiseConv (0 ms)
2022-05-18T03:47:15.6997665Z [ RUN      ] Int8.DepthwiseConv3x3
2022-05-18T03:47:15.6999088Z [       OK ] Int8.DepthwiseConv3x3 (0 ms)
2022-05-18T03:47:15.6999514Z [ RUN      ] Int8.DepthwiseConv5x5
2022-05-18T03:47:15.7002091Z [       OK ] Int8.DepthwiseConv5x5 (0 ms)
2022-05-18T03:47:15.7004824Z [ RUN      ] Int8.ConvTranspose
2022-05-18T03:47:15.7005162Z [       OK ] Int8.ConvTranspose (0 ms)
2022-05-18T03:47:15.7005435Z [ RUN      ] Int8.FC
2022-05-18T03:47:15.7005679Z [       OK ] Int8.FC (0 ms)
2022-05-18T03:47:15.7006065Z [ RUN      ] Int8.GivenTensorFill
2022-05-18T03:47:15.7012226Z [       OK ] Int8.GivenTensorFill (0 ms)
2022-05-18T03:47:15.7012705Z [ RUN      ] Int8.GivenIntTensorFill
2022-05-18T03:47:15.7013264Z [       OK ] Int8.GivenIntTensorFill (0 ms)
2022-05-18T03:47:15.7013612Z [ RUN      ] Int8.QuantDeQuant
2022-05-18T03:47:15.7017543Z [       OK ] Int8.QuantDeQuant (0 ms)
2022-05-18T03:47:15.7018008Z [ RUN      ] Int8.Reshape
2022-05-18T03:47:15.7020464Z [       OK ] Int8.Reshape (0 ms)
2022-05-18T03:47:15.7020931Z [ RUN      ] Int8.Flatten
2022-05-18T03:47:15.7022789Z [       OK ] Int8.Flatten (0 ms)
2022-05-18T03:47:15.7023225Z [ RUN      ] Int8.Slice
2022-05-18T03:47:15.7027159Z [       OK ] Int8.Slice (0 ms)
2022-05-18T03:47:15.7027679Z [----------] 24 tests from Int8 (26 ms total)
2022-05-18T03:47:15.7027947Z 
2022-05-18T03:47:15.7028271Z [----------] Global test environment tear-down
2022-05-18T03:47:15.7032592Z [==========] 24 tests from 1 test suite ran. (26 ms total)
2022-05-18T03:47:15.7033048Z [  PASSED  ] 24 tests.
2022-05-18T03:47:15.7033280Z 
2022-05-18T03:47:15.7033510Z   YOU HAVE 2 DISABLED TESTS
2022-05-18T03:47:15.7033669Z 
2022-05-18T03:47:15.7438633Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:15.7438998Z + case "$test" in
2022-05-18T03:47:15.7439698Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/ivalue_test
2022-05-18T03:47:15.7445861Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:15.7446408Z + /opt/conda/lib/python3.7/site-packages/torch/test/ivalue_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/ivalue_test.xml
2022-05-18T03:47:15.9161410Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:15.9161974Z [==========] Running 38 tests from 2 test suites.
2022-05-18T03:47:15.9162294Z [----------] Global test environment set-up.
2022-05-18T03:47:15.9162602Z [----------] 34 tests from IValueTest
2022-05-18T03:47:15.9162862Z [ RUN      ] IValueTest.Basic
2022-05-18T03:47:15.9165940Z [       OK ] IValueTest.Basic (0 ms)
2022-05-18T03:47:15.9166429Z [ RUN      ] IValueTest.BasicStorage
2022-05-18T03:47:15.9166903Z [       OK ] IValueTest.BasicStorage (0 ms)
2022-05-18T03:47:15.9167323Z [ RUN      ] IValueTest.ComplexDict
2022-05-18T03:47:15.9167833Z [       OK ] IValueTest.ComplexDict (0 ms)
2022-05-18T03:47:15.9168288Z [ RUN      ] IValueTest.Swap
2022-05-18T03:47:15.9168672Z [       OK ] IValueTest.Swap (0 ms)
2022-05-18T03:47:15.9169155Z [ RUN      ] IValueTest.CopyConstruct
2022-05-18T03:47:15.9169913Z [       OK ] IValueTest.CopyConstruct (0 ms)
2022-05-18T03:47:15.9170321Z [ RUN      ] IValueTest.MoveConstruct
2022-05-18T03:47:15.9170778Z [       OK ] IValueTest.MoveConstruct (0 ms)
2022-05-18T03:47:15.9171234Z [ RUN      ] IValueTest.CopyAssign
2022-05-18T03:47:15.9171742Z [       OK ] IValueTest.CopyAssign (0 ms)
2022-05-18T03:47:15.9172243Z [ RUN      ] IValueTest.MoveAssign
2022-05-18T03:47:15.9172700Z [       OK ] IValueTest.MoveAssign (0 ms)
2022-05-18T03:47:15.9173115Z [ RUN      ] IValueTest.Tuple
2022-05-18T03:47:15.9173421Z [       OK ] IValueTest.Tuple (0 ms)
2022-05-18T03:47:15.9173722Z [ RUN      ] IValueTest.unsafeRemoveAttr
2022-05-18T03:47:15.9174049Z [       OK ] IValueTest.unsafeRemoveAttr (0 ms)
2022-05-18T03:47:15.9174343Z [ RUN      ] IValueTest.TuplePrint
2022-05-18T03:47:15.9174645Z [       OK ] IValueTest.TuplePrint (0 ms)
2022-05-18T03:47:15.9174969Z [ RUN      ] IValueTest.ComplexIValuePrint
2022-05-18T03:47:15.9175403Z [       OK ] IValueTest.ComplexIValuePrint (0 ms)
2022-05-18T03:47:15.9175696Z [ RUN      ] IValueTest.Complex
2022-05-18T03:47:15.9175984Z [       OK ] IValueTest.Complex (0 ms)
2022-05-18T03:47:15.9176350Z [ RUN      ] IValueTest.BasicFuture
2022-05-18T03:47:15.9176706Z [       OK ] IValueTest.BasicFuture (0 ms)
2022-05-18T03:47:15.9177016Z [ RUN      ] IValueTest.FutureCallbacks
2022-05-18T03:47:15.9177432Z [       OK ] IValueTest.FutureCallbacks (0 ms)
2022-05-18T03:47:15.9177760Z [ RUN      ] IValueTest.FutureExceptions
2022-05-18T03:47:15.9178092Z [       OK ] IValueTest.FutureExceptions (0 ms)
2022-05-18T03:47:15.9178408Z [ RUN      ] IValueTest.FutureSetError
2022-05-18T03:47:15.9178728Z [       OK ] IValueTest.FutureSetError (0 ms)
2022-05-18T03:47:15.9179025Z [ RUN      ] IValueTest.ValueEquality
2022-05-18T03:47:15.9179341Z [       OK ] IValueTest.ValueEquality (0 ms)
2022-05-18T03:47:15.9179653Z [ RUN      ] IValueTest.TensorEquality
2022-05-18T03:47:15.9193745Z [       OK ] IValueTest.TensorEquality (1 ms)
2022-05-18T03:47:15.9194248Z [ RUN      ] IValueTest.ListEquality
2022-05-18T03:47:15.9194675Z [       OK ] IValueTest.ListEquality (0 ms)
2022-05-18T03:47:15.9195048Z [ RUN      ] IValueTest.DictEquality
2022-05-18T03:47:15.9195482Z [       OK ] IValueTest.DictEquality (0 ms)
2022-05-18T03:47:15.9195922Z [ RUN      ] IValueTest.DictEqualityDifferentOrder
2022-05-18T03:47:15.9196562Z [       OK ] IValueTest.DictEqualityDifferentOrder (0 ms)
2022-05-18T03:47:15.9197180Z [ RUN      ] IValueTest.ListNestedEquality
2022-05-18T03:47:15.9197609Z [       OK ] IValueTest.ListNestedEquality (0 ms)
2022-05-18T03:47:15.9197941Z [ RUN      ] IValueTest.StreamEquality
2022-05-18T03:47:15.9198256Z [       OK ] IValueTest.StreamEquality (0 ms)
2022-05-18T03:47:15.9198569Z [ RUN      ] IValueTest.EnumEquality
2022-05-18T03:47:15.9198878Z [       OK ] IValueTest.EnumEquality (0 ms)
2022-05-18T03:47:15.9199164Z [ RUN      ] IValueTest.isPtrType
2022-05-18T03:47:15.9199462Z [       OK ] IValueTest.isPtrType (0 ms)
2022-05-18T03:47:15.9199753Z [ RUN      ] IValueTest.isAliasOf
2022-05-18T03:47:15.9200043Z [       OK ] IValueTest.isAliasOf (0 ms)
2022-05-18T03:47:15.9200340Z [ RUN      ] IValueTest.internalToPointer
2022-05-18T03:47:15.9200675Z [       OK ] IValueTest.internalToPointer (0 ms)
2022-05-18T03:47:15.9201038Z [ RUN      ] IValueTest.IdentityComparisonAndHashing
2022-05-18T03:47:15.9201424Z [       OK ] IValueTest.IdentityComparisonAndHashing (0 ms)
2022-05-18T03:47:15.9201808Z [ RUN      ] IValueTest.IdentityAndHashing_SparseCOO
2022-05-18T03:47:15.9221792Z [       OK ] IValueTest.IdentityAndHashing_SparseCOO (2 ms)
2022-05-18T03:47:15.9222291Z [ RUN      ] IValueTest.getSubValues
2022-05-18T03:47:15.9222749Z [       OK ] IValueTest.getSubValues (0 ms)
2022-05-18T03:47:15.9223187Z [ RUN      ] IValueTest.ScalarBool
2022-05-18T03:47:15.9223626Z [       OK ] IValueTest.ScalarBool (0 ms)
2022-05-18T03:47:15.9224051Z [ RUN      ] IValueTest.ToWeakAndBack
2022-05-18T03:47:15.9224521Z [       OK ] IValueTest.ToWeakAndBack (0 ms)
2022-05-18T03:47:15.9224997Z [ RUN      ] IValueTest.UseCountCornerCases
2022-05-18T03:47:15.9225553Z [       OK ] IValueTest.UseCountCornerCases (0 ms)
2022-05-18T03:47:15.9226072Z [----------] 34 tests from IValueTest (6 ms total)
2022-05-18T03:47:15.9226298Z 
2022-05-18T03:47:15.9226546Z [----------] 4 tests from TupleElementsTest
2022-05-18T03:47:15.9227097Z [ RUN      ] TupleElementsTest.Basic
2022-05-18T03:47:15.9227542Z [       OK ] TupleElementsTest.Basic (0 ms)
2022-05-18T03:47:15.9227984Z [ RUN      ] TupleElementsTest.Resize
2022-05-18T03:47:15.9228583Z [       OK ] TupleElementsTest.Resize (0 ms)
2022-05-18T03:47:15.9229090Z [ RUN      ] TupleElementsTest.CopyAndMoveConstruct
2022-05-18T03:47:15.9229658Z [       OK ] TupleElementsTest.CopyAndMoveConstruct (0 ms)
2022-05-18T03:47:15.9230261Z [ RUN      ] TupleElementsTest.CopyAndMoveAssign
2022-05-18T03:47:15.9230786Z [       OK ] TupleElementsTest.CopyAndMoveAssign (0 ms)
2022-05-18T03:47:15.9231314Z [----------] 4 tests from TupleElementsTest (0 ms total)
2022-05-18T03:47:15.9231553Z 
2022-05-18T03:47:15.9231804Z [----------] Global test environment tear-down
2022-05-18T03:47:15.9232278Z [==========] 38 tests from 2 test suites ran. (6 ms total)
2022-05-18T03:47:15.9232635Z [  PASSED  ] 38 tests.
2022-05-18T03:47:15.9653301Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:15.9653734Z + case "$test" in
2022-05-18T03:47:15.9655641Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/kernel_function_legacy_test
2022-05-18T03:47:15.9661664Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:15.9662315Z + /opt/conda/lib/python3.7/site-packages/torch/test/kernel_function_legacy_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/kernel_function_legacy_test.xml
2022-05-18T03:47:16.1381293Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:16.1381803Z [==========] Running 48 tests from 1 test suite.
2022-05-18T03:47:16.1382131Z [----------] Global test environment set-up.
2022-05-18T03:47:16.1382529Z [----------] 48 tests from OperatorRegistrationTest_LegacyFunctionBasedKernel
2022-05-18T03:47:16.1383133Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernel_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1384289Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernel_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1384999Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernel_whenRegisteredInConstructor_thenCanBeCalled
2022-05-18T03:47:16.1386381Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernel_whenRegisteredInConstructor_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1387130Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenMultipleOperatorsAndKernels_whenRegisteredInOneRegistrar_thenCallsRightKernel
2022-05-18T03:47:16.1389510Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenMultipleOperatorsAndKernels_whenRegisteredInOneRegistrar_thenCallsRightKernel (0 ms)
2022-05-18T03:47:16.1390351Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenMultipleOperatorsAndKernels_whenRegisteredInMultipleRegistrars_thenCallsRightKernel
2022-05-18T03:47:16.1391882Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenMultipleOperatorsAndKernels_whenRegisteredInMultipleRegistrars_thenCallsRightKernel (0 ms)
2022-05-18T03:47:16.1392956Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernel_whenRegistrationRunsOutOfScope_thenCannotBeCalledAnymore
2022-05-18T03:47:16.1393741Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernel_whenRegistrationRunsOutOfScope_thenCannotBeCalledAnymore (0 ms)
2022-05-18T03:47:16.1394670Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1395364Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1396194Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithZeroOutputs_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1397203Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithZeroOutputs_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1398098Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithIntOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1398957Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithIntOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1399864Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithTensorOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1400683Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithTensorOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1401524Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithTensorListOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1402451Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithTensorListOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1403541Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithIntListOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1404246Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithIntListOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1405158Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithMultipleOutputs_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1406503Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithMultipleOutputs_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1407495Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithTensorInputByReference_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1408687Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithTensorInputByReference_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1409714Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithTensorInputByValue_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1410716Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithTensorInputByValue_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1412112Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithTensorInputByReference_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1412940Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithTensorInputByReference_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1414301Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithTensorInputByValue_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1415495Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithTensorInputByValue_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1416310Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithIntInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1417363Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithIntInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1418037Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithIntInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1419071Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithIntInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1420227Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithIntListInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1421179Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithIntListInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1422108Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithIntListInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1423227Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithIntListInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1424052Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithTensorListInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1425229Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithTensorListInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1426186Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithTensorListInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1427162Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithTensorListInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1428162Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithLegacyTensorVectorInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1429085Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithLegacyTensorVectorInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1429991Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithLegacyTensorVectorInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1430923Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithLegacyTensorVectorInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1431861Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithLegacyTensorListInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1432726Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithLegacyTensorListInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1433673Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithLegacyTensorListInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1434576Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithLegacyTensorListInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1435553Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithStringListOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1436525Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithStringListOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1437381Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithDictInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1438304Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithDictInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1439074Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithDictInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1439893Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithDictInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1440756Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithDictOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1441559Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithDictOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1442525Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithUnorderedMapInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1443592Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithUnorderedMapInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1444560Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithUnorderedMapInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1445374Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithUnorderedMapInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1446247Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithUnorderedMapOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1447059Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithUnorderedMapOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1448011Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithMapOfList_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1448766Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithMapOfList_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1449655Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithMapOfListOfMap_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1450428Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithMapOfListOfMap_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1451355Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithListOfMap_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1452116Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithListOfMap_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1453020Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithListOfMapOfIntList_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1453836Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithListOfMapOfIntList_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1454759Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenFallbackKernelWithoutAnyArguments_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1455638Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenFallbackKernelWithoutAnyArguments_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1456657Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenFallbackKernelWithoutTensorArguments_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1457652Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenFallbackKernelWithoutTensorArguments_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1458619Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithOptionalInputs_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1459437Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithOptionalInputs_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1460179Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithOptionalInputs_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1460913Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithOptionalInputs_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1461672Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithOptionalInputs_withMultipleOutputs_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.1462508Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernelWithOptionalInputs_withMultipleOutputs_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.1463194Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernel_whenRegistered_thenCanBeCalledUnboxed
2022-05-18T03:47:16.1463824Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernel_whenRegistered_thenCanBeCalledUnboxed (0 ms)
2022-05-18T03:47:16.1464482Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernel_whenRegisteredWithoutSpecifyingSchema_thenInfersSchema
2022-05-18T03:47:16.1465275Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenKernel_whenRegisteredWithoutSpecifyingSchema_thenInfersSchema (0 ms)
2022-05-18T03:47:16.1466004Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenMismatchedKernel_withDifferentNumArguments_whenRegistering_thenFails
2022-05-18T03:47:16.1530395Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenMismatchedKernel_withDifferentNumArguments_whenRegistering_thenFails (7 ms)
2022-05-18T03:47:16.1531127Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenMismatchedKernel_withDifferentArgumentType_whenRegistering_thenFails
2022-05-18T03:47:16.1563239Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenMismatchedKernel_withDifferentArgumentType_whenRegistering_thenFails (3 ms)
2022-05-18T03:47:16.1563968Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenMismatchedKernel_withDifferentNumReturns_whenRegistering_thenFails
2022-05-18T03:47:16.1678728Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenMismatchedKernel_withDifferentNumReturns_whenRegistering_thenFails (11 ms)
2022-05-18T03:47:16.1679553Z [ RUN      ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenMismatchedKernel_withDifferentReturnTypes_whenRegistering_thenFails
2022-05-18T03:47:16.1761769Z [       OK ] OperatorRegistrationTest_LegacyFunctionBasedKernel.givenMismatchedKernel_withDifferentReturnTypes_whenRegistering_thenFails (8 ms)
2022-05-18T03:47:16.1762401Z [----------] 48 tests from OperatorRegistrationTest_LegacyFunctionBasedKernel (37 ms total)
2022-05-18T03:47:16.1762636Z 
2022-05-18T03:47:16.1762821Z [----------] Global test environment tear-down
2022-05-18T03:47:16.1771065Z [==========] 48 tests from 1 test suite ran. (37 ms total)
2022-05-18T03:47:16.1771443Z [  PASSED  ] 48 tests.
2022-05-18T03:47:16.2193483Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:16.2193762Z + case "$test" in
2022-05-18T03:47:16.2196418Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/kernel_function_test
2022-05-18T03:47:16.2202050Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:16.2202664Z + /opt/conda/lib/python3.7/site-packages/torch/test/kernel_function_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/kernel_function_test.xml
2022-05-18T03:47:16.3903587Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:16.3904156Z [==========] Running 37 tests from 2 test suites.
2022-05-18T03:47:16.3904489Z [----------] Global test environment set-up.
2022-05-18T03:47:16.3905056Z [----------] 36 tests from OperatorRegistrationTest_FunctionBasedKernel
2022-05-18T03:47:16.3905682Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernel_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3906614Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernel_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3907444Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernel_whenRegisteredWithTorchLibraryAndTorchFn_thenCanBeCalled
2022-05-18T03:47:16.3908896Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernel_whenRegisteredWithTorchLibraryAndTorchFn_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3910019Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenCatchAllKernel_whenRegisteredWithTorchLibraryAndTorchFn_thenCanBeCalled
2022-05-18T03:47:16.3910786Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenCatchAllKernel_whenRegisteredWithTorchLibraryAndTorchFn_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3911639Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenMultipleOperatorsAndKernels_whenRegisteredInOneRegistrar_thenCallsRightKernel
2022-05-18T03:47:16.3912746Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenMultipleOperatorsAndKernels_whenRegisteredInOneRegistrar_thenCallsRightKernel (0 ms)
2022-05-18T03:47:16.3913524Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenMultipleOperatorsAndKernels_whenRegisteredInMultipleRegistrars_thenCallsRightKernel
2022-05-18T03:47:16.3914781Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenMultipleOperatorsAndKernels_whenRegisteredInMultipleRegistrars_thenCallsRightKernel (0 ms)
2022-05-18T03:47:16.3915784Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3916563Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3917601Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithZeroOutputs_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3918428Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithZeroOutputs_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3919449Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithIntOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3920560Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithIntOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3921345Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithTensorOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3922408Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithTensorOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3923654Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithTensorListOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3924341Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithTensorListOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3925033Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithIntListOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3925891Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithIntListOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3926746Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithMultipleOutputs_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3927738Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithMultipleOutputs_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3928798Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithTensorInputByReference_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3929791Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithTensorInputByReference_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3930700Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithTensorInputByValue_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3931673Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithTensorInputByValue_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3932719Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithTensorInputByReference_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3933775Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithTensorInputByReference_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3934918Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithTensorInputByValue_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3935856Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithTensorInputByValue_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3936808Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithIntInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3937584Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithIntInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3938453Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithIntInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3939388Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithIntInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3940280Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithIntListInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3941131Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithIntListInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3941981Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithIntListInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3942861Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithIntListInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3943590Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithTensorListInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3944539Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithTensorListInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3945444Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithTensorListInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3946278Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithTensorListInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3947387Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithDictInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3948160Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithDictInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3949049Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithDictInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3949820Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithDictInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3950527Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithDictOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3951200Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithDictOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3951986Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenFallbackKernelWithoutAnyArguments_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3952787Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenFallbackKernelWithoutAnyArguments_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3953709Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenFallbackKernelWithoutTensorArguments_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3954506Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenFallbackKernelWithoutTensorArguments_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3955232Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithOptionalInputs_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3955929Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithOptionalInputs_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3956704Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithOptionalInputs_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3957394Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithOptionalInputs_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3958092Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithOptionalInputs_withMultipleOutputs_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.3958812Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernelWithOptionalInputs_withMultipleOutputs_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.3959428Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernel_whenRegistered_thenCanBeCalledUnboxed
2022-05-18T03:47:16.3960008Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernel_whenRegistered_thenCanBeCalledUnboxed (0 ms)
2022-05-18T03:47:16.3960630Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenKernel_whenRegisteredWithoutSpecifyingSchema_thenInfersSchema
2022-05-18T03:47:16.3961303Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenKernel_whenRegisteredWithoutSpecifyingSchema_thenInfersSchema (0 ms)
2022-05-18T03:47:16.3961962Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenMismatchedKernel_withDifferentNumArguments_whenRegistering_thenFails
2022-05-18T03:47:16.4020113Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenMismatchedKernel_withDifferentNumArguments_whenRegistering_thenFails (6 ms)
2022-05-18T03:47:16.4020799Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenMismatchedKernel_withDifferentArgumentType_whenRegistering_thenFails
2022-05-18T03:47:16.4052540Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenMismatchedKernel_withDifferentArgumentType_whenRegistering_thenFails (3 ms)
2022-05-18T03:47:16.4053361Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenMismatchedKernel_withDifferentNumReturns_whenRegistering_thenFails
2022-05-18T03:47:16.4161861Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenMismatchedKernel_withDifferentNumReturns_whenRegistering_thenFails (10 ms)
2022-05-18T03:47:16.4162540Z [ RUN      ] OperatorRegistrationTest_FunctionBasedKernel.givenMismatchedKernel_withDifferentReturnTypes_whenRegistering_thenFails
2022-05-18T03:47:16.4240728Z [       OK ] OperatorRegistrationTest_FunctionBasedKernel.givenMismatchedKernel_withDifferentReturnTypes_whenRegistering_thenFails (7 ms)
2022-05-18T03:47:16.4241301Z [----------] 36 tests from OperatorRegistrationTest_FunctionBasedKernel (33 ms total)
2022-05-18T03:47:16.4241526Z 
2022-05-18T03:47:16.4241758Z [----------] 1 test from NewOperatorRegistrationTest_FunctionBasedKernel
2022-05-18T03:47:16.4242343Z [ RUN      ] NewOperatorRegistrationTest_FunctionBasedKernel.givenKernel_whenRegistrationRunsOutOfScope_thenCannotBeCalledAnymore
2022-05-18T03:47:16.4248366Z [       OK ] NewOperatorRegistrationTest_FunctionBasedKernel.givenKernel_whenRegistrationRunsOutOfScope_thenCannotBeCalledAnymore (0 ms)
2022-05-18T03:47:16.4248958Z [----------] 1 test from NewOperatorRegistrationTest_FunctionBasedKernel (0 ms total)
2022-05-18T03:47:16.4249175Z 
2022-05-18T03:47:16.4249360Z [----------] Global test environment tear-down
2022-05-18T03:47:16.4256118Z [==========] 37 tests from 2 test suites ran. (34 ms total)
2022-05-18T03:47:16.4256402Z [  PASSED  ] 37 tests.
2022-05-18T03:47:16.4661217Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:16.4661451Z + case "$test" in
2022-05-18T03:47:16.4663744Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/kernel_lambda_legacy_test
2022-05-18T03:47:16.4669517Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:16.4684058Z + /opt/conda/lib/python3.7/site-packages/torch/test/kernel_lambda_legacy_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/kernel_lambda_legacy_test.xml
2022-05-18T03:47:16.6378516Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:16.6379028Z [==========] Running 48 tests from 1 test suite.
2022-05-18T03:47:16.6379353Z [----------] Global test environment set-up.
2022-05-18T03:47:16.6379742Z [----------] 48 tests from OperatorRegistrationTest_LegacyLambdaBasedKernel
2022-05-18T03:47:16.6380351Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernel_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6381594Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernel_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6382240Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernel_whenRegisteredInConstructor_thenCanBeCalled
2022-05-18T03:47:16.6383728Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernel_whenRegisteredInConstructor_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6384459Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenMultipleOperatorsAndKernels_whenRegisteredInOneRegistrar_thenCallsRightKernel
2022-05-18T03:47:16.6386614Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenMultipleOperatorsAndKernels_whenRegisteredInOneRegistrar_thenCallsRightKernel (0 ms)
2022-05-18T03:47:16.6387514Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenMultipleOperatorsAndKernels_whenRegisteredInMultipleRegistrars_thenCallsRightKernel
2022-05-18T03:47:16.6388855Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenMultipleOperatorsAndKernels_whenRegisteredInMultipleRegistrars_thenCallsRightKernel (0 ms)
2022-05-18T03:47:16.6389958Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernel_whenRegistrationRunsOutOfScope_thenCannotBeCalledAnymore
2022-05-18T03:47:16.6390965Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernel_whenRegistrationRunsOutOfScope_thenCannotBeCalledAnymore (0 ms)
2022-05-18T03:47:16.6391762Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6392531Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6393342Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithZeroOutputs_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6394110Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithZeroOutputs_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6394871Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithIntOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6395838Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithIntOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6396622Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithTensorOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6397817Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithTensorOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6398894Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithTensorListOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6400109Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithTensorListOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6401262Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithIntListOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6402242Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithIntListOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6403472Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithMultipleOutputs_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6404540Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithMultipleOutputs_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6405812Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithTensorInputByReference_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6407199Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithTensorInputByReference_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6408442Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithTensorInputByValue_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6409691Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithTensorInputByValue_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6410617Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithTensorInputByReference_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6411508Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithTensorInputByReference_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6412671Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithTensorInputByValue_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6413692Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithTensorInputByValue_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6414667Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithIntInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6415732Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithIntInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6416627Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithIntInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6417585Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithIntInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6418691Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithIntListInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6419563Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithIntListInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6420631Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithIntListInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6421941Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithIntListInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6423156Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithTensorListInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6424170Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithTensorListInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6425245Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithTensorVectorInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6426335Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithTensorVectorInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6427459Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithLegacyTensorVectorInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6428570Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithLegacyTensorVectorInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6429591Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithLegacyTensorVectorInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6430607Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithLegacyTensorVectorInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6431618Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithLegacyTensorListInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6432718Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithLegacyTensorListInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6433856Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithLegacyTensorListInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6434918Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithLegacyTensorListInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6436008Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithStringListOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6437031Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithStringListOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6437976Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithDictInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6438963Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithDictInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6440021Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithDictInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6440908Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithDictInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6441874Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithDictOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6442626Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithDictOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6443864Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithUnorderedMapInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6444752Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithUnorderedMapInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6445829Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithUnorderedMapInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6446890Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithUnorderedMapInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6448071Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithUnorderedMapOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6448884Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithUnorderedMapOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6449924Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithMapOfList_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6450589Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithMapOfList_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6451249Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithMapOfListOfMap_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6451956Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithMapOfListOfMap_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6452620Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithListOfMap_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6453270Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithListOfMap_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6453943Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithListOfMapOfIntList_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6454661Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithListOfMapOfIntList_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6455407Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenFallbackKernelWithoutAnyArguments_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6456176Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenFallbackKernelWithoutAnyArguments_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6456935Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenFallbackKernelWithoutTensorArguments_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6457729Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenFallbackKernelWithoutTensorArguments_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6458482Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithOptionalInputs_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6459216Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithOptionalInputs_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6460022Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithOptionalInputs_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6460747Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithOptionalInputs_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6461493Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithOptionalInputs_withMultipleOutputs_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.6462258Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernelWithOptionalInputs_withMultipleOutputs_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.6462932Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernel_whenRegistered_thenCanBeCalledUnboxed
2022-05-18T03:47:16.6463528Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernel_whenRegistered_thenCanBeCalledUnboxed (0 ms)
2022-05-18T03:47:16.6464223Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernel_whenRegisteredWithoutSpecifyingSchema_thenInfersSchema
2022-05-18T03:47:16.6464924Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenKernel_whenRegisteredWithoutSpecifyingSchema_thenInfersSchema (0 ms)
2022-05-18T03:47:16.6465718Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenMismatchedKernel_withDifferentNumArguments_whenRegistering_thenFails
2022-05-18T03:47:16.6518349Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenMismatchedKernel_withDifferentNumArguments_whenRegistering_thenFails (6 ms)
2022-05-18T03:47:16.6519079Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenMismatchedKernel_withDifferentArgumentType_whenRegistering_thenFails
2022-05-18T03:47:16.6550404Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenMismatchedKernel_withDifferentArgumentType_whenRegistering_thenFails (3 ms)
2022-05-18T03:47:16.6551103Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenMismatchedKernel_withDifferentNumReturns_whenRegistering_thenFails
2022-05-18T03:47:16.6665309Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenMismatchedKernel_withDifferentNumReturns_whenRegistering_thenFails (11 ms)
2022-05-18T03:47:16.6666015Z [ RUN      ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenMismatchedKernel_withDifferentReturnTypes_whenRegistering_thenFails
2022-05-18T03:47:16.6747524Z [       OK ] OperatorRegistrationTest_LegacyLambdaBasedKernel.givenMismatchedKernel_withDifferentReturnTypes_whenRegistering_thenFails (8 ms)
2022-05-18T03:47:16.6748143Z [----------] 48 tests from OperatorRegistrationTest_LegacyLambdaBasedKernel (36 ms total)
2022-05-18T03:47:16.6748381Z 
2022-05-18T03:47:16.6748563Z [----------] Global test environment tear-down
2022-05-18T03:47:16.6757252Z [==========] 48 tests from 1 test suite ran. (36 ms total)
2022-05-18T03:47:16.6757528Z [  PASSED  ] 48 tests.
2022-05-18T03:47:16.7169188Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:16.7169605Z + case "$test" in
2022-05-18T03:47:16.7172032Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/kernel_lambda_test
2022-05-18T03:47:16.7177626Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:16.7178353Z + /opt/conda/lib/python3.7/site-packages/torch/test/kernel_lambda_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/kernel_lambda_test.xml
2022-05-18T03:47:16.8930321Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:16.8930751Z [==========] Running 36 tests from 1 test suite.
2022-05-18T03:47:16.8931307Z [----------] Global test environment set-up.
2022-05-18T03:47:16.8931705Z [----------] 36 tests from OperatorRegistrationTest_LambdaBasedKernel
2022-05-18T03:47:16.8932214Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernel_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8933091Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernel_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8933742Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenOutOfLineKernel_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8935111Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenOutOfLineKernel_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8935783Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenMultipleOperatorsAndKernels_whenRegisteredInOneRegistrar_thenCallsRightKernel
2022-05-18T03:47:16.8937935Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenMultipleOperatorsAndKernels_whenRegisteredInOneRegistrar_thenCallsRightKernel (0 ms)
2022-05-18T03:47:16.8938844Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenMultipleOperatorsAndKernels_whenRegisteredInMultipleRegistrars_thenCallsRightKernel
2022-05-18T03:47:16.8940450Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenMultipleOperatorsAndKernels_whenRegisteredInMultipleRegistrars_thenCallsRightKernel (0 ms)
2022-05-18T03:47:16.8941179Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernel_whenRegistrationRunsOutOfScope_thenCannotBeCalledAnymore
2022-05-18T03:47:16.8949739Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernel_whenRegistrationRunsOutOfScope_thenCannotBeCalledAnymore (0 ms)
2022-05-18T03:47:16.8950465Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8951416Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8952305Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithZeroOutputs_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8953270Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithZeroOutputs_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8954045Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithIntOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8954775Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithIntOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8955490Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithTensorOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8956303Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithTensorOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8957092Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithTensorListOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8958010Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithTensorListOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8958877Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithIntListOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8959691Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithIntListOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8960394Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithMultipleOutputs_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8961576Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithMultipleOutputs_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8962480Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithTensorInputByReference_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8963738Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithTensorInputByReference_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8964517Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithTensorInputByValue_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8965322Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithTensorInputByValue_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8966094Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithTensorInputByReference_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8967011Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithTensorInputByReference_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8967932Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithTensorInputByValue_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8968729Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithTensorInputByValue_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8969476Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithIntInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8970167Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithIntInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8970957Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithIntInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8971694Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithIntInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8972388Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithIntListInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8973183Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithIntListInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8973938Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithIntListInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8974717Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithIntListInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8975758Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithTensorListInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8976595Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithTensorListInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8977725Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithTensorListInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8978633Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithTensorListInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8979518Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithDictInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8980513Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithDictInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8981413Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithDictInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8982142Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithDictInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8983121Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithDictOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8984157Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithDictOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8985234Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenFallbackKernelWithoutAnyArguments_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8986122Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenFallbackKernelWithoutAnyArguments_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8987243Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenFallbackKernelWithoutTensorArguments_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8988361Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenFallbackKernelWithoutTensorArguments_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8989265Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithOptionalInputs_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8990300Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithOptionalInputs_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8991078Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithOptionalInputs_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8991767Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithOptionalInputs_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8992443Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithOptionalInputs_withMultipleOutputs_whenRegistered_thenCanBeCalled
2022-05-18T03:47:16.8993162Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernelWithOptionalInputs_withMultipleOutputs_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:16.8993790Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernel_whenRegistered_thenCanBeCalledUnboxed
2022-05-18T03:47:16.8994360Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernel_whenRegistered_thenCanBeCalledUnboxed (0 ms)
2022-05-18T03:47:16.8994970Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenKernel_whenRegisteredWithoutSpecifyingSchema_thenInfersSchema
2022-05-18T03:47:16.8995627Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenKernel_whenRegisteredWithoutSpecifyingSchema_thenInfersSchema (0 ms)
2022-05-18T03:47:16.8996283Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenMismatchedKernel_withDifferentNumArguments_whenRegistering_thenFails
2022-05-18T03:47:16.9055365Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenMismatchedKernel_withDifferentNumArguments_whenRegistering_thenFails (6 ms)
2022-05-18T03:47:16.9056026Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenMismatchedKernel_withDifferentArgumentType_whenRegistering_thenFails
2022-05-18T03:47:16.9089112Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenMismatchedKernel_withDifferentArgumentType_whenRegistering_thenFails (3 ms)
2022-05-18T03:47:16.9089784Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenMismatchedKernel_withDifferentNumReturns_whenRegistering_thenFails
2022-05-18T03:47:16.9198180Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenMismatchedKernel_withDifferentNumReturns_whenRegistering_thenFails (10 ms)
2022-05-18T03:47:16.9198904Z [ RUN      ] OperatorRegistrationTest_LambdaBasedKernel.givenMismatchedKernel_withDifferentReturnTypes_whenRegistering_thenFails
2022-05-18T03:47:16.9277373Z [       OK ] OperatorRegistrationTest_LambdaBasedKernel.givenMismatchedKernel_withDifferentReturnTypes_whenRegistering_thenFails (7 ms)
2022-05-18T03:47:16.9277937Z [----------] 36 tests from OperatorRegistrationTest_LambdaBasedKernel (34 ms total)
2022-05-18T03:47:16.9278332Z 
2022-05-18T03:47:16.9278516Z [----------] Global test environment tear-down
2022-05-18T03:47:16.9284717Z [==========] 36 tests from 1 test suite ran. (34 ms total)
2022-05-18T03:47:16.9284983Z [  PASSED  ] 36 tests.
2022-05-18T03:47:16.9689341Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:16.9689781Z + case "$test" in
2022-05-18T03:47:16.9692336Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/kernel_stackbased_test
2022-05-18T03:47:16.9698369Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:16.9698968Z + /opt/conda/lib/python3.7/site-packages/torch/test/kernel_stackbased_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/kernel_stackbased_test.xml
2022-05-18T03:47:17.1416116Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:17.1416913Z [==========] Running 9 tests from 1 test suite.
2022-05-18T03:47:17.1417246Z [----------] Global test environment set-up.
2022-05-18T03:47:17.1417925Z [----------] 9 tests from OperatorRegistrationTest_StackBasedKernel
2022-05-18T03:47:17.1418802Z [ RUN      ] OperatorRegistrationTest_StackBasedKernel.givenKernel_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.1419428Z [       OK ] OperatorRegistrationTest_StackBasedKernel.givenKernel_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.1420210Z [ RUN      ] OperatorRegistrationTest_StackBasedKernel.givenMultipleOperatorsAndKernels_whenRegisteredInOneRegistrar_thenCallsRightKernel
2022-05-18T03:47:17.1421538Z [       OK ] OperatorRegistrationTest_StackBasedKernel.givenMultipleOperatorsAndKernels_whenRegisteredInOneRegistrar_thenCallsRightKernel (0 ms)
2022-05-18T03:47:17.1422315Z [ RUN      ] OperatorRegistrationTest_StackBasedKernel.givenMultipleOperatorsAndKernels_whenRegisteredInMultipleRegistrars_thenCallsRightKernel
2022-05-18T03:47:17.1423578Z [       OK ] OperatorRegistrationTest_StackBasedKernel.givenMultipleOperatorsAndKernels_whenRegisteredInMultipleRegistrars_thenCallsRightKernel (0 ms)
2022-05-18T03:47:17.1424296Z [ RUN      ] OperatorRegistrationTest_StackBasedKernel.givenKernel_whenRegistrationRunsOutOfScope_thenCannotBeCalledAnymore
2022-05-18T03:47:17.1440599Z [       OK ] OperatorRegistrationTest_StackBasedKernel.givenKernel_whenRegistrationRunsOutOfScope_thenCannotBeCalledAnymore (0 ms)
2022-05-18T03:47:17.1441495Z [ RUN      ] OperatorRegistrationTest_StackBasedKernel.givenFallbackKernelWithoutAnyArguments_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.1442220Z [       OK ] OperatorRegistrationTest_StackBasedKernel.givenFallbackKernelWithoutAnyArguments_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.1443274Z [ RUN      ] OperatorRegistrationTest_StackBasedKernel.givenFallbackKernelWithoutTensorArguments_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.1444424Z [       OK ] OperatorRegistrationTest_StackBasedKernel.givenFallbackKernelWithoutTensorArguments_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.1445670Z [ RUN      ] OperatorRegistrationTest_StackBasedKernel.givenKernel_whenRegisteredWithoutSpecifyingSchema_thenFailsBecauseItCannotInferFromStackBasedKernel
2022-05-18T03:47:17.1446740Z [       OK ] OperatorRegistrationTest_StackBasedKernel.givenKernel_whenRegisteredWithoutSpecifyingSchema_thenFailsBecauseItCannotInferFromStackBasedKernel (0 ms)
2022-05-18T03:47:17.1447436Z [ RUN      ] OperatorRegistrationTest_StackBasedKernel.givenKernel_whenRegistered_thenCanAlsoBeCalledUnboxed
2022-05-18T03:47:17.1448009Z [       OK ] OperatorRegistrationTest_StackBasedKernel.givenKernel_whenRegistered_thenCanAlsoBeCalledUnboxed (0 ms)
2022-05-18T03:47:17.1448684Z [ RUN      ] OperatorRegistrationTest_StackBasedKernel.callKernelsWithDispatchKeySetConvention_redispatchesToLowerPriorityKernels
2022-05-18T03:47:17.1502123Z [       OK ] OperatorRegistrationTest_StackBasedKernel.callKernelsWithDispatchKeySetConvention_redispatchesToLowerPriorityKernels (5 ms)
2022-05-18T03:47:17.1502752Z [----------] 9 tests from OperatorRegistrationTest_StackBasedKernel (8 ms total)
2022-05-18T03:47:17.1502972Z 
2022-05-18T03:47:17.1503139Z [----------] Global test environment tear-down
2022-05-18T03:47:17.1504660Z [==========] 9 tests from 1 test suite ran. (8 ms total)
2022-05-18T03:47:17.1504938Z [  PASSED  ] 9 tests.
2022-05-18T03:47:17.1909490Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:17.1909720Z + case "$test" in
2022-05-18T03:47:17.1912605Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/lazy_tensor_test
2022-05-18T03:47:17.1917758Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:17.1918719Z + /opt/conda/lib/python3.7/site-packages/torch/test/lazy_tensor_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/lazy_tensor_test.xml
2022-05-18T03:47:17.3624319Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:17.3625245Z [==========] Running 2 tests from 2 test suites.
2022-05-18T03:47:17.3625834Z [----------] Global test environment set-up.
2022-05-18T03:47:17.3626395Z [----------] 1 test from XlaTensorTest
2022-05-18T03:47:17.3626886Z [ RUN      ] XlaTensorTest.TestNoStorage
2022-05-18T03:47:17.3627228Z [       OK ] XlaTensorTest.TestNoStorage (0 ms)
2022-05-18T03:47:17.3627576Z [----------] 1 test from XlaTensorTest (0 ms total)
2022-05-18T03:47:17.3627725Z 
2022-05-18T03:47:17.3627883Z [----------] 1 test from LazyTensorTest
2022-05-18T03:47:17.3628195Z [ RUN      ] LazyTensorTest.TestNoStorage
2022-05-18T03:47:17.3628534Z [       OK ] LazyTensorTest.TestNoStorage (0 ms)
2022-05-18T03:47:17.3628873Z [----------] 1 test from LazyTensorTest (0 ms total)
2022-05-18T03:47:17.3629034Z 
2022-05-18T03:47:17.3629212Z [----------] Global test environment tear-down
2022-05-18T03:47:17.3629539Z [==========] 2 tests from 2 test suites ran. (0 ms total)
2022-05-18T03:47:17.3629797Z [  PASSED  ] 2 tests.
2022-05-18T03:47:17.4024347Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:17.4024609Z + case "$test" in
2022-05-18T03:47:17.4026581Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/make_boxed_from_unboxed_functor_test
2022-05-18T03:47:17.4032101Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:17.4032735Z + /opt/conda/lib/python3.7/site-packages/torch/test/make_boxed_from_unboxed_functor_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/make_boxed_from_unboxed_functor_test.xml
2022-05-18T03:47:17.5764708Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:17.5765334Z [==========] Running 39 tests from 1 test suite.
2022-05-18T03:47:17.5765640Z [----------] Global test environment set-up.
2022-05-18T03:47:17.5766030Z [----------] 39 tests from OperatorRegistrationTest_FunctorBasedKernel
2022-05-18T03:47:17.5766698Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernel_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5768024Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernel_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5768745Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenMultipleOperatorsAndKernels_whenRegisteredInOneRegistrar_thenCallsRightKernel
2022-05-18T03:47:17.5770569Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenMultipleOperatorsAndKernels_whenRegisteredInOneRegistrar_thenCallsRightKernel (0 ms)
2022-05-18T03:47:17.5771820Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenMultipleOperatorsAndKernels_whenRegisteredInMultipleRegistrars_thenCallsRightKernel
2022-05-18T03:47:17.5773051Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenMultipleOperatorsAndKernels_whenRegisteredInMultipleRegistrars_thenCallsRightKernel (0 ms)
2022-05-18T03:47:17.5774141Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5774992Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5775836Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithZeroOutputs_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5776738Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithZeroOutputs_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5777525Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithIntOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5778523Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithIntOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5779258Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithTensorOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5779901Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithTensorOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5780600Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithTensorListOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5781401Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithTensorListOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5782133Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithIntListOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5782861Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithIntListOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5783632Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithMultipleOutputs_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5784426Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithMultipleOutputs_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5785406Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithTensorInputByReference_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5786300Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithTensorInputByReference_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5787222Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithTensorInputByValue_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5788099Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithTensorInputByValue_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5789164Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithTensorInputByReference_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5790196Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithTensorInputByReference_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5791231Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithTensorInputByValue_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5792131Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithTensorInputByValue_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5793148Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithIntInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5794069Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithIntInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5794793Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithIntInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5795599Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithIntInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5796452Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithIntListInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5797382Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithIntListInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5798130Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithIntListInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5798999Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithIntListInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5799745Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithTensorListInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5800510Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithTensorListInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5801266Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithTensorListInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5802114Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithTensorListInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5802850Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithDictInput_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5803992Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithDictInput_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5804677Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithDictInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5805549Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithDictInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5806176Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithDictOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5806994Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithDictOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5807883Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithTupleInput_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5808978Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithTupleInput_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5809925Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithCache_thenCacheIsKeptCorrectly
2022-05-18T03:47:17.5810528Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithCache_thenCacheIsKeptCorrectly (0 ms)
2022-05-18T03:47:17.5811586Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithConstructorArg_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5812524Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithConstructorArg_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5813412Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithMultipleConstructorArgs_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5814668Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithMultipleConstructorArgs_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5815710Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenFallbackKernelWithoutAnyArguments_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5816446Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenFallbackKernelWithoutAnyArguments_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5817421Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenFallbackKernelWithoutTensorArguments_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5818506Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenFallbackKernelWithoutTensorArguments_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5819383Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithOptionalInputs_withoutOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5820167Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithOptionalInputs_withoutOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5820950Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithOptionalInputs_withOutput_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5821853Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithOptionalInputs_withOutput_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5822620Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithOptionalInputs_withMultipleOutputs_whenRegistered_thenCanBeCalled
2022-05-18T03:47:17.5823500Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernelWithOptionalInputs_withMultipleOutputs_whenRegistered_thenCanBeCalled (0 ms)
2022-05-18T03:47:17.5824144Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernel_whenRegistered_thenCanBeCalledUnboxed
2022-05-18T03:47:17.5824715Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernel_whenRegistered_thenCanBeCalledUnboxed (0 ms)
2022-05-18T03:47:17.5825416Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernel_whenRegisteredWithoutSpecifyingSchema_thenInfersSchema
2022-05-18T03:47:17.5826259Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernel_whenRegisteredWithoutSpecifyingSchema_thenInfersSchema (0 ms)
2022-05-18T03:47:17.5827008Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenKernel_whenRegisteredCatchAllWithoutSpecifyingSchema_thenInfersSchema
2022-05-18T03:47:17.5827715Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenKernel_whenRegisteredCatchAllWithoutSpecifyingSchema_thenInfersSchema (0 ms)
2022-05-18T03:47:17.5828403Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenMismatchedKernel_withDifferentNumArguments_whenRegistering_thenFails
2022-05-18T03:47:17.5891499Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenMismatchedKernel_withDifferentNumArguments_whenRegistering_thenFails (6 ms)
2022-05-18T03:47:17.5892200Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenMismatchedKernel_withDifferentArgumentType_whenRegistering_thenFails
2022-05-18T03:47:17.5923141Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenMismatchedKernel_withDifferentArgumentType_whenRegistering_thenFails (3 ms)
2022-05-18T03:47:17.5923802Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenMismatchedKernel_withDifferentNumReturns_whenRegistering_thenFails
2022-05-18T03:47:17.6034788Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenMismatchedKernel_withDifferentNumReturns_whenRegistering_thenFails (11 ms)
2022-05-18T03:47:17.6035550Z [ RUN      ] OperatorRegistrationTest_FunctorBasedKernel.givenMismatchedKernel_withDifferentReturnTypes_whenRegistering_thenFails
2022-05-18T03:47:17.6113662Z [       OK ] OperatorRegistrationTest_FunctorBasedKernel.givenMismatchedKernel_withDifferentReturnTypes_whenRegistering_thenFails (7 ms)
2022-05-18T03:47:17.6114230Z [----------] 39 tests from OperatorRegistrationTest_FunctorBasedKernel (34 ms total)
2022-05-18T03:47:17.6114455Z 
2022-05-18T03:47:17.6114633Z [----------] Global test environment tear-down
2022-05-18T03:47:17.6121379Z [==========] 39 tests from 1 test suite ran. (34 ms total)
2022-05-18T03:47:17.6121653Z [  PASSED  ] 39 tests.
2022-05-18T03:47:17.6535211Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:17.6535560Z + case "$test" in
2022-05-18T03:47:17.6537577Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/math_kernel_test
2022-05-18T03:47:17.6542741Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:17.6543512Z + /opt/conda/lib/python3.7/site-packages/torch/test/math_kernel_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/math_kernel_test.xml
2022-05-18T03:47:17.8250968Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:17.8251470Z [==========] Running 7 tests from 1 test suite.
2022-05-18T03:47:17.8251790Z [----------] Global test environment set-up.
2022-05-18T03:47:17.8252111Z [----------] 7 tests from MathKernelTest
2022-05-18T03:47:17.8252420Z [ RUN      ] MathKernelTest.NativeGroupNorm
2022-05-18T03:47:17.8482143Z [       OK ] MathKernelTest.NativeGroupNorm (23 ms)
2022-05-18T03:47:17.8482838Z [ RUN      ] MathKernelTest.NativeLayerNorm
2022-05-18T03:47:17.8499124Z [       OK ] MathKernelTest.NativeLayerNorm (1 ms)
2022-05-18T03:47:17.8499613Z [ RUN      ] MathKernelTest.Addr
2022-05-18T03:47:17.8504618Z [       OK ] MathKernelTest.Addr (0 ms)
2022-05-18T03:47:17.8505277Z [ RUN      ] MathKernelTest.SiluBackward
2022-05-18T03:47:17.8506071Z [       OK ] MathKernelTest.SiluBackward (0 ms)
2022-05-18T03:47:17.8506518Z [ RUN      ] MathKernelTest.MishBackward
2022-05-18T03:47:17.8532008Z [       OK ] MathKernelTest.MishBackward (2 ms)
2022-05-18T03:47:17.8532469Z [ RUN      ] MathKernelTest.NarrowCopy
2022-05-18T03:47:17.8532914Z [       OK ] MathKernelTest.NarrowCopy (0 ms)
2022-05-18T03:47:17.8533329Z [ RUN      ] MathKernelTest.Bmm
2022-05-18T03:47:17.8598018Z [       OK ] MathKernelTest.Bmm (6 ms)
2022-05-18T03:47:17.8598673Z [----------] 7 tests from MathKernelTest (34 ms total)
2022-05-18T03:47:17.8598967Z 
2022-05-18T03:47:17.8599244Z [----------] Global test environment tear-down
2022-05-18T03:47:17.8601309Z [==========] 7 tests from 1 test suite ran. (34 ms total)
2022-05-18T03:47:17.8601754Z [  PASSED  ] 7 tests.
2022-05-18T03:47:17.9032561Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:17.9032885Z + case "$test" in
2022-05-18T03:47:17.9034361Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/math_test
2022-05-18T03:47:17.9039860Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:17.9040643Z + /opt/conda/lib/python3.7/site-packages/torch/test/math_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/math_test.xml
2022-05-18T03:47:18.0760211Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:18.0760908Z [==========] Running 15 tests from 4 test suites.
2022-05-18T03:47:18.0761232Z [----------] Global test environment set-up.
2022-05-18T03:47:18.0761520Z [----------] 5 tests from MathTest
2022-05-18T03:47:18.0761818Z [ RUN      ] MathTest.GemmNoTransNoTrans
2022-05-18T03:47:18.0802135Z [       OK ] MathTest.GemmNoTransNoTrans (4 ms)
2022-05-18T03:47:18.0802699Z [ RUN      ] MathTest.GemmNoTransTrans
2022-05-18T03:47:18.0803601Z [       OK ] MathTest.GemmNoTransTrans (0 ms)
2022-05-18T03:47:18.0804077Z [ RUN      ] MathTest.GemvNoTrans
2022-05-18T03:47:18.0804438Z [       OK ] MathTest.GemvNoTrans (0 ms)
2022-05-18T03:47:18.0804711Z [ RUN      ] MathTest.GemvTrans
2022-05-18T03:47:18.0804995Z [       OK ] MathTest.GemvTrans (0 ms)
2022-05-18T03:47:18.0805382Z [ RUN      ] MathTest.FloatToHalfConversion
2022-05-18T03:47:18.0805988Z [       OK ] MathTest.FloatToHalfConversion (0 ms)
2022-05-18T03:47:18.0806406Z [----------] 5 tests from MathTest (4 ms total)
2022-05-18T03:47:18.0806562Z 
2022-05-18T03:47:18.0806719Z [----------] 1 test from BroadcastTest
2022-05-18T03:47:18.0807075Z [ RUN      ] BroadcastTest.BroadcastFloatTest
2022-05-18T03:47:18.0807534Z [       OK ] BroadcastTest.BroadcastFloatTest (0 ms)
2022-05-18T03:47:18.0807896Z [----------] 1 test from BroadcastTest (0 ms total)
2022-05-18T03:47:18.0808059Z 
2022-05-18T03:47:18.0808225Z [----------] 1 test from RandFixedSumTest
2022-05-18T03:47:18.0808633Z [ RUN      ] RandFixedSumTest.UpperBound
2022-05-18T03:47:18.0808979Z [       OK ] RandFixedSumTest.UpperBound (0 ms)
2022-05-18T03:47:18.0814640Z [----------] 1 test from RandFixedSumTest (0 ms total)
2022-05-18T03:47:18.0814950Z 
2022-05-18T03:47:18.0815288Z [----------] 8 tests from GemmBatchedTrans/GemmBatchedTest
2022-05-18T03:47:18.0815953Z [ RUN      ] GemmBatchedTrans/GemmBatchedTest.GemmBatchedFloatTest/0
2022-05-18T03:47:18.0816751Z [       OK ] GemmBatchedTrans/GemmBatchedTest.GemmBatchedFloatTest/0 (0 ms)
2022-05-18T03:47:18.0817534Z [ RUN      ] GemmBatchedTrans/GemmBatchedTest.GemmBatchedFloatTest/1
2022-05-18T03:47:18.0818397Z [       OK ] GemmBatchedTrans/GemmBatchedTest.GemmBatchedFloatTest/1 (0 ms)
2022-05-18T03:47:18.0819224Z [ RUN      ] GemmBatchedTrans/GemmBatchedTest.GemmBatchedFloatTest/2
2022-05-18T03:47:18.0820104Z [       OK ] GemmBatchedTrans/GemmBatchedTest.GemmBatchedFloatTest/2 (0 ms)
2022-05-18T03:47:18.0820954Z [ RUN      ] GemmBatchedTrans/GemmBatchedTest.GemmBatchedFloatTest/3
2022-05-18T03:47:18.0821809Z [       OK ] GemmBatchedTrans/GemmBatchedTest.GemmBatchedFloatTest/3 (0 ms)
2022-05-18T03:47:18.0822619Z [ RUN      ] GemmBatchedTrans/GemmBatchedTest.GemmStridedBatchedFloatTest/0
2022-05-18T03:47:18.0823398Z [       OK ] GemmBatchedTrans/GemmBatchedTest.GemmStridedBatchedFloatTest/0 (0 ms)
2022-05-18T03:47:18.0824165Z [ RUN      ] GemmBatchedTrans/GemmBatchedTest.GemmStridedBatchedFloatTest/1
2022-05-18T03:47:18.0824991Z [       OK ] GemmBatchedTrans/GemmBatchedTest.GemmStridedBatchedFloatTest/1 (0 ms)
2022-05-18T03:47:18.0825887Z [ RUN      ] GemmBatchedTrans/GemmBatchedTest.GemmStridedBatchedFloatTest/2
2022-05-18T03:47:18.0826665Z [       OK ] GemmBatchedTrans/GemmBatchedTest.GemmStridedBatchedFloatTest/2 (0 ms)
2022-05-18T03:47:18.0827430Z [ RUN      ] GemmBatchedTrans/GemmBatchedTest.GemmStridedBatchedFloatTest/3
2022-05-18T03:47:18.0828053Z [       OK ] GemmBatchedTrans/GemmBatchedTest.GemmStridedBatchedFloatTest/3 (0 ms)
2022-05-18T03:47:18.0828653Z [----------] 8 tests from GemmBatchedTrans/GemmBatchedTest (1 ms total)
2022-05-18T03:47:18.0828904Z 
2022-05-18T03:47:18.0829151Z [----------] Global test environment tear-down
2022-05-18T03:47:18.0829613Z [==========] 15 tests from 4 test suites ran. (5 ms total)
2022-05-18T03:47:18.0829963Z [  PASSED  ] 15 tests.
2022-05-18T03:47:18.1259697Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:18.1259970Z + case "$test" in
2022-05-18T03:47:18.1261865Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/memory_format_test
2022-05-18T03:47:18.1267786Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:18.1268618Z + /opt/conda/lib/python3.7/site-packages/torch/test/memory_format_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/memory_format_test.xml
2022-05-18T03:47:18.2990646Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:18.2991155Z [==========] Running 4 tests from 1 test suite.
2022-05-18T03:47:18.2991464Z [----------] Global test environment set-up.
2022-05-18T03:47:18.2991793Z [----------] 4 tests from MemoryFormatTest
2022-05-18T03:47:18.2992125Z [ RUN      ] MemoryFormatTest.SetMemoryFormat
2022-05-18T03:47:18.2994513Z [       OK ] MemoryFormatTest.SetMemoryFormat (0 ms)
2022-05-18T03:47:18.2995131Z [ RUN      ] MemoryFormatTest.TransposeMemoryFormat
2022-05-18T03:47:18.2995700Z [       OK ] MemoryFormatTest.TransposeMemoryFormat (0 ms)
2022-05-18T03:47:18.2996261Z [ RUN      ] MemoryFormatTest.SliceStepTwoMemoryFormat
2022-05-18T03:47:18.2997117Z [       OK ] MemoryFormatTest.SliceStepTwoMemoryFormat (0 ms)
2022-05-18T03:47:18.2997800Z [ RUN      ] MemoryFormatTest.SliceFirstMemoryFormat
2022-05-18T03:47:18.2998288Z [       OK ] MemoryFormatTest.SliceFirstMemoryFormat (0 ms)
2022-05-18T03:47:18.2998661Z [----------] 4 tests from MemoryFormatTest (0 ms total)
2022-05-18T03:47:18.2998831Z 
2022-05-18T03:47:18.2999007Z [----------] Global test environment tear-down
2022-05-18T03:47:18.3000632Z [==========] 4 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:47:18.3000904Z [  PASSED  ] 4 tests.
2022-05-18T03:47:18.3404426Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:18.3404661Z + case "$test" in
2022-05-18T03:47:18.3406619Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/memory_overlapping_test
2022-05-18T03:47:18.3412645Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:18.3413393Z + /opt/conda/lib/python3.7/site-packages/torch/test/memory_overlapping_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/memory_overlapping_test.xml
2022-05-18T03:47:18.5176835Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:18.5177614Z [==========] Running 6 tests from 1 test suite.
2022-05-18T03:47:18.5178083Z [----------] Global test environment set-up.
2022-05-18T03:47:18.5178579Z [----------] 6 tests from MemoryOverlapTest
2022-05-18T03:47:18.5178916Z [ RUN      ] MemoryOverlapTest.TensorExpanded
2022-05-18T03:47:18.5179275Z [       OK ] MemoryOverlapTest.TensorExpanded (0 ms)
2022-05-18T03:47:18.5179615Z [ RUN      ] MemoryOverlapTest.ScalarExpanded
2022-05-18T03:47:18.5179973Z [       OK ] MemoryOverlapTest.ScalarExpanded (0 ms)
2022-05-18T03:47:18.5180342Z [ RUN      ] MemoryOverlapTest.NonContiguousTensor
2022-05-18T03:47:18.5183059Z [       OK ] MemoryOverlapTest.NonContiguousTensor (0 ms)
2022-05-18T03:47:18.5183866Z [ RUN      ] MemoryOverlapTest.NonContiguousExpandedTensor
2022-05-18T03:47:18.5184540Z [       OK ] MemoryOverlapTest.NonContiguousExpandedTensor (0 ms)
2022-05-18T03:47:18.5184945Z [ RUN      ] MemoryOverlapTest.ContiguousTensor
2022-05-18T03:47:18.5185372Z [       OK ] MemoryOverlapTest.ContiguousTensor (0 ms)
2022-05-18T03:47:18.5185860Z [ RUN      ] MemoryOverlapTest.ContiguousExpandedTensor
2022-05-18T03:47:18.5186283Z [       OK ] MemoryOverlapTest.ContiguousExpandedTensor (0 ms)
2022-05-18T03:47:18.5186731Z [----------] 6 tests from MemoryOverlapTest (0 ms total)
2022-05-18T03:47:18.5186903Z 
2022-05-18T03:47:18.5187087Z [----------] Global test environment tear-down
2022-05-18T03:47:18.5187499Z [==========] 6 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:47:18.5187770Z [  PASSED  ] 6 tests.
2022-05-18T03:47:18.5582337Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:18.5582608Z + case "$test" in
2022-05-18T03:47:18.5584386Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/mobile_memory_cleanup
2022-05-18T03:47:18.5589892Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:18.5590612Z + /opt/conda/lib/python3.7/site-packages/torch/test/mobile_memory_cleanup --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/mobile_memory_cleanup.xml
2022-05-18T03:47:18.7302106Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:18.7302810Z [==========] Running 0 tests from 0 test suites.
2022-05-18T03:47:18.7303744Z [==========] 0 tests from 0 test suites ran. (0 ms total)
2022-05-18T03:47:18.7304150Z [  PASSED  ] 0 tests.
2022-05-18T03:47:18.7715248Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:18.7715606Z + case "$test" in
2022-05-18T03:47:18.7716743Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/mobile_test
2022-05-18T03:47:18.7722552Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:18.7723462Z + /opt/conda/lib/python3.7/site-packages/torch/test/mobile_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/mobile_test.xml
2022-05-18T03:47:18.9438357Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:18.9439095Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:47:18.9439428Z [----------] Global test environment set-up.
2022-05-18T03:47:18.9439729Z [----------] 1 test from MobileTest
2022-05-18T03:47:18.9440075Z [ RUN      ] MobileTest.Convolution
2022-05-18T03:47:18.9441615Z [       OK ] MobileTest.Convolution (0 ms)
2022-05-18T03:47:18.9442057Z [----------] 1 test from MobileTest (0 ms total)
2022-05-18T03:47:18.9442231Z 
2022-05-18T03:47:18.9442394Z [----------] Global test environment tear-down
2022-05-18T03:47:18.9444166Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-05-18T03:47:18.9444479Z [  PASSED  ] 1 test.
2022-05-18T03:47:18.9839907Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:18.9840323Z + case "$test" in
2022-05-18T03:47:18.9842353Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/module_test
2022-05-18T03:47:18.9848016Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:18.9883810Z + /opt/conda/lib/python3.7/site-packages/torch/test/module_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/module_test.xml
2022-05-18T03:47:19.1574871Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:19.1575681Z [==========] Running 2 tests from 1 test suite.
2022-05-18T03:47:19.1576090Z [----------] Global test environment set-up.
2022-05-18T03:47:19.1576392Z [----------] 2 tests from ModuleTest
2022-05-18T03:47:19.1576889Z [ RUN      ] ModuleTest.StaticModule
2022-05-18T03:47:19.1577407Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:19.1577760Z [       OK ] ModuleTest.StaticModule (0 ms)
2022-05-18T03:47:19.1578068Z [ RUN      ] ModuleTest.DynamicModule
2022-05-18T03:47:19.1578417Z [E operator.cc:207] Cannot find operator schema for Caffe2ModuleTestDynamicDummy. Will skip schema checking.
2022-05-18T03:47:19.1590989Z [       OK ] ModuleTest.DynamicModule (1 ms)
2022-05-18T03:47:19.1591626Z [----------] 2 tests from ModuleTest (1 ms total)
2022-05-18T03:47:19.1591852Z 
2022-05-18T03:47:19.1592031Z [----------] Global test environment tear-down
2022-05-18T03:47:19.1593267Z [==========] 2 tests from 1 test suite ran. (1 ms total)
2022-05-18T03:47:19.1593913Z [  PASSED  ] 2 tests.
2022-05-18T03:47:19.2014497Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:19.2014938Z + case "$test" in
2022-05-18T03:47:19.2015331Z + [[ linux-xenial-py3.7-clang7-onnx == *rocm* ]]
2022-05-18T03:47:19.2015696Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:19.2016063Z + /opt/conda/lib/python3.7/site-packages/torch/test/native_test
2022-05-18T03:47:19.3713790Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:19.3714439Z [==========] Running 2 tests from 1 test suite.
2022-05-18T03:47:19.3714768Z [----------] Global test environment set-up.
2022-05-18T03:47:19.3715073Z [----------] 2 tests from TestNative
2022-05-18T03:47:19.3715355Z [ RUN      ] TestNative.NativeTestCPU
2022-05-18T03:47:19.3872706Z [W TensorCompare.cpp:402] Warning: where received a uint8 condition tensor. This behavior is deprecated and will be removed in a future version of PyTorch. Use a boolean condition instead. (function operator())
2022-05-18T03:47:19.3873866Z [       OK ] TestNative.NativeTestCPU (15 ms)
2022-05-18T03:47:19.3874337Z [ RUN      ] TestNative.NativeTestGPU
2022-05-18T03:47:19.3874791Z [       OK ] TestNative.NativeTestGPU (0 ms)
2022-05-18T03:47:19.3875298Z [----------] 2 tests from TestNative (15 ms total)
2022-05-18T03:47:19.3875522Z 
2022-05-18T03:47:19.3875778Z [----------] Global test environment tear-down
2022-05-18T03:47:19.3876255Z [==========] 2 tests from 1 test suite ran. (15 ms total)
2022-05-18T03:47:19.3876624Z [  PASSED  ] 2 tests.
2022-05-18T03:47:19.4306125Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:19.4306390Z + case "$test" in
2022-05-18T03:47:19.4308163Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/net_async_tracing_test
2022-05-18T03:47:19.4313474Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:19.4314365Z + /opt/conda/lib/python3.7/site-packages/torch/test/net_async_tracing_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/net_async_tracing_test.xml
2022-05-18T03:47:19.6033674Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:19.6034407Z [==========] Running 3 tests from 1 test suite.
2022-05-18T03:47:19.6034726Z [----------] Global test environment set-up.
2022-05-18T03:47:19.6035061Z [----------] 3 tests from NetAsyncTracingTest
2022-05-18T03:47:19.6035392Z [ RUN      ] NetAsyncTracingTest.ExtractShardId
2022-05-18T03:47:19.6035761Z [       OK ] NetAsyncTracingTest.ExtractShardId (0 ms)
2022-05-18T03:47:19.6036130Z [ RUN      ] NetAsyncTracingTest.EveryKIteration
2022-05-18T03:47:19.6041454Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:19.6043856Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:19.6053688Z [       OK ] NetAsyncTracingTest.EveryKIteration (2 ms)
2022-05-18T03:47:19.6054078Z [ RUN      ] NetAsyncTracingTest.GlobalTimeSlice
2022-05-18T03:47:19.6059751Z [       OK ] NetAsyncTracingTest.GlobalTimeSlice (0 ms)
2022-05-18T03:47:19.6060255Z [----------] 3 tests from NetAsyncTracingTest (2 ms total)
2022-05-18T03:47:19.6060482Z 
2022-05-18T03:47:19.6060666Z [----------] Global test environment tear-down
2022-05-18T03:47:19.6061319Z [==========] 3 tests from 1 test suite ran. (2 ms total)
2022-05-18T03:47:19.6061615Z [  PASSED  ] 3 tests.
2022-05-18T03:47:19.6476290Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:19.6476653Z + case "$test" in
2022-05-18T03:47:19.6478453Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/net_dag_utils_test
2022-05-18T03:47:19.6484157Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:19.6484933Z + /opt/conda/lib/python3.7/site-packages/torch/test/net_dag_utils_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/net_dag_utils_test.xml
2022-05-18T03:47:19.8200749Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:19.8201457Z [==========] Running 6 tests from 1 test suite.
2022-05-18T03:47:19.8202011Z [----------] Global test environment set-up.
2022-05-18T03:47:19.8202565Z [----------] 6 tests from DagUtilTest
2022-05-18T03:47:19.8203164Z [ RUN      ] DagUtilTest.Empty
2022-05-18T03:47:19.8205293Z [       OK ] DagUtilTest.Empty (0 ms)
2022-05-18T03:47:19.8205815Z [ RUN      ] DagUtilTest.AllSync
2022-05-18T03:47:19.8211606Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:19.8212618Z [       OK ] DagUtilTest.AllSync (0 ms)
2022-05-18T03:47:19.8213020Z [ RUN      ] DagUtilTest.AllAsync
2022-05-18T03:47:19.8213695Z [       OK ] DagUtilTest.AllAsync (0 ms)
2022-05-18T03:47:19.8214158Z [ RUN      ] DagUtilTest.Mixed0
2022-05-18T03:47:19.8214499Z [       OK ] DagUtilTest.Mixed0 (0 ms)
2022-05-18T03:47:19.8214777Z [ RUN      ] DagUtilTest.Mixed1
2022-05-18T03:47:19.8215216Z [       OK ] DagUtilTest.Mixed1 (0 ms)
2022-05-18T03:47:19.8215481Z [ RUN      ] DagUtilTest.Mixed2
2022-05-18T03:47:19.8216155Z [       OK ] DagUtilTest.Mixed2 (0 ms)
2022-05-18T03:47:19.8216533Z [----------] 6 tests from DagUtilTest (1 ms total)
2022-05-18T03:47:19.8216696Z 
2022-05-18T03:47:19.8216858Z [----------] Global test environment tear-down
2022-05-18T03:47:19.8219034Z [==========] 6 tests from 1 test suite ran. (1 ms total)
2022-05-18T03:47:19.8219310Z [  PASSED  ] 6 tests.
2022-05-18T03:47:19.8628805Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:19.8629046Z + case "$test" in
2022-05-18T03:47:19.8631560Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/net_simple_refcount_test
2022-05-18T03:47:19.8636977Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:19.8637552Z + /opt/conda/lib/python3.7/site-packages/torch/test/net_simple_refcount_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/net_simple_refcount_test.xml
2022-05-18T03:47:20.0351435Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:20.0351885Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:47:20.0352270Z [----------] Global test environment set-up.
2022-05-18T03:47:20.0352615Z [----------] 1 test from NetSimpleRefCountTest
2022-05-18T03:47:20.0353188Z [ RUN      ] NetSimpleRefCountTest.TestCorrectness
2022-05-18T03:47:20.0353679Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:20.0354065Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:20.0354505Z [       OK ] NetSimpleRefCountTest.TestCorrectness (0 ms)
2022-05-18T03:47:20.0354902Z [----------] 1 test from NetSimpleRefCountTest (0 ms total)
2022-05-18T03:47:20.0355086Z 
2022-05-18T03:47:20.0355334Z [----------] Global test environment tear-down
2022-05-18T03:47:20.0356889Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-05-18T03:47:20.0357240Z [  PASSED  ] 1 test.
2022-05-18T03:47:20.0773319Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:20.0773560Z + case "$test" in
2022-05-18T03:47:20.0775250Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/net_test
2022-05-18T03:47:20.0780679Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:20.2497435Z + /opt/conda/lib/python3.7/site-packages/torch/test/net_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/net_test.xml
2022-05-18T03:47:20.2498205Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:20.2498580Z [==========] Running 14 tests from 2 test suites.
2022-05-18T03:47:20.2498973Z [----------] Global test environment set-up.
2022-05-18T03:47:20.2499282Z [----------] 1 test from NetDeathTest
2022-05-18T03:47:20.2499630Z [ RUN      ] NetDeathTest.DeclaredOutputNotMet
2022-05-18T03:47:20.2499978Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:20.2528363Z [       OK ] NetDeathTest.DeclaredOutputNotMet (3 ms)
2022-05-18T03:47:20.2528810Z [----------] 1 test from NetDeathTest (3 ms total)
2022-05-18T03:47:20.2529016Z 
2022-05-18T03:47:20.2529152Z [----------] 13 tests from NetTest
2022-05-18T03:47:20.2529542Z [ RUN      ] NetTest.ConstructionNoDeclaredInputOutput
2022-05-18T03:47:20.2530841Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:20.2531715Z [       OK ] NetTest.ConstructionNoDeclaredInputOutput (0 ms)
2022-05-18T03:47:20.2532281Z [ RUN      ] NetTest.ConstructionDeclaredInput
2022-05-18T03:47:20.2532647Z [       OK ] NetTest.ConstructionDeclaredInput (0 ms)
2022-05-18T03:47:20.2533004Z [ RUN      ] NetTest.ConstructionDeclaredOutput
2022-05-18T03:47:20.2533358Z [       OK ] NetTest.ConstructionDeclaredOutput (0 ms)
2022-05-18T03:47:20.2533717Z [ RUN      ] NetTest.DeclaredInputInsufficient
2022-05-18T03:47:20.2564470Z [       OK ] NetTest.DeclaredInputInsufficient (3 ms)
2022-05-18T03:47:20.2565102Z [ RUN      ] NetTest.OperatorWithExecutorHelper
2022-05-18T03:47:20.2573080Z [       OK ] NetTest.OperatorWithExecutorHelper (0 ms)
2022-05-18T03:47:20.2573653Z [ RUN      ] NetTest.ExecutorOverride
2022-05-18T03:47:20.2574122Z [       OK ] NetTest.ExecutorOverride (0 ms)
2022-05-18T03:47:20.2574505Z [ RUN      ] NetTest.AsyncEmptyNet
2022-05-18T03:47:20.2574811Z [       OK ] NetTest.AsyncEmptyNet (0 ms)
2022-05-18T03:47:20.2575096Z [ RUN      ] NetTest.NoTypeNet
2022-05-18T03:47:20.2575369Z [       OK ] NetTest.NoTypeNet (0 ms)
2022-05-18T03:47:20.2575691Z [ RUN      ] NetTest.PendingOpsAndNetFailure
2022-05-18T03:47:20.2577466Z [E net_async_base.cc:384] Failed to execute an op,  op NetTestDummy
2022-05-18T03:47:20.2577934Z [E net_async_base.cc:135] Rethrowing exception from the run of 'example'
2022-05-18T03:47:20.2580263Z [       OK ] NetTest.PendingOpsAndNetFailure (0 ms)
2022-05-18T03:47:20.2580870Z [ RUN      ] NetTest.AsyncErrorOpTest
2022-05-18T03:47:20.2583896Z [E net_async_base.cc:384] Error,  op AsyncErrorOp
2022-05-18T03:47:20.2584554Z [E net_async_base.cc:135] Rethrowing exception from the run of 'net1'
2022-05-18T03:47:20.2589360Z [E net_async_base.cc:384] Failed to execute an op,  op AsyncErrorOp
2022-05-18T03:47:20.2589795Z [E net_async_base.cc:141] Error encountered in the run of 'net2'
2022-05-18T03:47:21.2597943Z [E net_async_base.cc:135] Rethrowing exception from the run of 'net3'
2022-05-18T03:47:22.2606243Z [E net_async_base.cc:141] Error encountered in the run of 'net4'
2022-05-18T03:47:22.2606999Z [       OK ] NetTest.AsyncErrorOpTest (2002 ms)
2022-05-18T03:47:22.2607514Z [ RUN      ] NetTest.AsyncErrorTimingsTest
2022-05-18T03:47:23.2615509Z [E net_async_base.cc:135] Rethrowing exception from the run of 'net'
2022-05-18T03:47:24.2616046Z [       OK ] NetTest.AsyncErrorTimingsTest (2000 ms)
2022-05-18T03:47:24.2616431Z [ RUN      ] NetTest.ChainErrorTest
2022-05-18T03:47:24.2618776Z [E net_async_base.cc:384] Error,  op SyncErrorOp
2022-05-18T03:47:24.2619407Z [E net_async_base.cc:135] Rethrowing exception from the run of 'net1'
2022-05-18T03:47:24.2624396Z [E net_async_base.cc:384] Failed to execute an op,  op SyncErrorOp
2022-05-18T03:47:24.2624812Z [E net_async_base.cc:141] Error encountered in the run of 'net2'
2022-05-18T03:47:24.2626471Z [       OK ] NetTest.ChainErrorTest (1 ms)
2022-05-18T03:47:24.2626804Z [ RUN      ] NetTest.ProfDAGNetErrorTest
2022-05-18T03:47:24.2637678Z [E net_async_base.cc:384] Failed to execute an op,  op SyncErrorOp
2022-05-18T03:47:24.2638485Z [E net_async_base.cc:141] Error encountered in the run of 'prof_dag_error_test_net'
2022-05-18T03:47:24.2639045Z [E net_async_base.cc:384] Failed to execute an op,  op SyncErrorOp
2022-05-18T03:47:24.2639748Z [E net_async_base.cc:141] Error encountered in the run of 'prof_dag_error_test_net'
2022-05-18T03:47:24.2640294Z [E net_async_base.cc:384] Failed to execute an op,  op SyncErrorOp
2022-05-18T03:47:24.2640941Z [E net_async_base.cc:141] Error encountered in the run of 'prof_dag_error_test_net'
2022-05-18T03:47:24.2641385Z [E net_async_base.cc:384] Failed to execute an op,  op SyncErrorOp
2022-05-18T03:47:24.2641925Z [E net_async_base.cc:141] Error encountered in the run of 'prof_dag_error_test_net'
2022-05-18T03:47:24.2642797Z [E net_async_base.cc:384] Failed to execute an op,  op SyncErrorOp
2022-05-18T03:47:24.2643747Z [E net_async_base.cc:141] Error encountered in the run of 'prof_dag_error_test_net'
2022-05-18T03:47:24.2644317Z [E net_async_base.cc:384] Failed to execute an op,  op SyncErrorOp
2022-05-18T03:47:24.2644882Z [E net_async_base.cc:141] Error encountered in the run of 'prof_dag_error_test_net'
2022-05-18T03:47:24.2645232Z [E net_async_base.cc:384] Failed to execute an op,  op SyncErrorOp
2022-05-18T03:47:24.2645812Z [E net_async_base.cc:141] Error encountered in the run of 'prof_dag_error_test_net'
2022-05-18T03:47:24.2646561Z [E net_async_base.cc:384] Failed to execute an op,  op SyncErrorOp
2022-05-18T03:47:24.2647276Z [E net_async_base.cc:141] Error encountered in the run of 'prof_dag_error_test_net'
2022-05-18T03:47:24.2647687Z [E net_async_base.cc:384] Failed to execute an op,  op SyncErrorOp
2022-05-18T03:47:24.2648179Z [E net_async_base.cc:141] Error encountered in the run of 'prof_dag_error_test_net'
2022-05-18T03:47:24.2648477Z [E net_async_base.cc:384] Failed to execute an op,  op SyncErrorOp
2022-05-18T03:47:24.2648919Z [E net_async_base.cc:141] Error encountered in the run of 'prof_dag_error_test_net'
2022-05-18T03:47:24.2649386Z [       OK ] NetTest.ProfDAGNetErrorTest (2 ms)
2022-05-18T03:47:24.2649965Z [----------] 13 tests from NetTest (4012 ms total)
2022-05-18T03:47:24.2650234Z 
2022-05-18T03:47:24.2650482Z [----------] Global test environment tear-down
2022-05-18T03:47:24.2683979Z [==========] 14 tests from 2 test suites ran. (4015 ms total)
2022-05-18T03:47:24.2684304Z [  PASSED  ] 14 tests.
2022-05-18T03:47:24.2684435Z 
2022-05-18T03:47:24.2684570Z   YOU HAVE 8 DISABLED TESTS
2022-05-18T03:47:24.2684701Z 
2022-05-18T03:47:24.3081958Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:24.3082312Z + case "$test" in
2022-05-18T03:47:24.3083370Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/nnpack_test
2022-05-18T03:47:24.3089214Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:24.3089938Z + /opt/conda/lib/python3.7/site-packages/torch/test/nnpack_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/nnpack_test.xml
2022-05-18T03:47:24.4811911Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:24.4812557Z [==========] Running 13 tests from 1 test suite.
2022-05-18T03:47:24.4812881Z [----------] Global test environment set-up.
2022-05-18T03:47:24.4813171Z [----------] 13 tests from NNPACK
2022-05-18T03:47:24.4813445Z [ RUN      ] NNPACK.Conv_3x3s1
2022-05-18T03:47:24.4831148Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:24.6262193Z [       OK ] NNPACK.Conv_3x3s1 (144 ms)
2022-05-18T03:47:24.6262983Z [ RUN      ] NNPACK.Conv_3x3s1_precompute
2022-05-18T03:47:24.7437056Z [       OK ] NNPACK.Conv_3x3s1_precompute (117 ms)
2022-05-18T03:47:24.7437557Z [ RUN      ] NNPACK.Conv_3x3s1_FP16
2022-05-18T03:47:24.8436518Z [       OK ] NNPACK.Conv_3x3s1_FP16 (99 ms)
2022-05-18T03:47:24.8437042Z [ RUN      ] NNPACK.Conv_3x3s1_FP16_precompute
2022-05-18T03:47:24.9963794Z [       OK ] NNPACK.Conv_3x3s1_FP16_precompute (152 ms)
2022-05-18T03:47:24.9964273Z [ RUN      ] NNPACK.Conv_NxNs1
2022-05-18T03:47:25.2280311Z [       OK ] NNPACK.Conv_NxNs1 (231 ms)
2022-05-18T03:47:25.2280748Z [ RUN      ] NNPACK.Conv_1x1s1
2022-05-18T03:47:25.2820876Z [       OK ] NNPACK.Conv_1x1s1 (54 ms)
2022-05-18T03:47:25.2821512Z [ RUN      ] NNPACK.ConvRelu_1x1s1
2022-05-18T03:47:25.2849690Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.2861453Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.2874510Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.2887178Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.2899383Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.2918265Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.2973279Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.2998399Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3016990Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3032368Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3128317Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3189267Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3214850Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3318842Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3370865Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3382053Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3390520Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3444774Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3490251Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3517155Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3533657Z [       OK ] NNPACK.ConvRelu_1x1s1 (71 ms)
2022-05-18T03:47:25.3534090Z [ RUN      ] NNPACK.Conv_1x1s1_precompute
2022-05-18T03:47:25.3537687Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3561757Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3589912Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3606813Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3618266Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3629444Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3644302Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3683160Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3721210Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3749434Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3758855Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3773713Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3789162Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3844566Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3891732Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3925068Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3945023Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.3994580Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.4042812Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.4076095Z [W conv_op.cc:284] Failed to query workspace size to precompute kernels, falling back to re-compute strategy
2022-05-18T03:47:25.4094431Z [       OK ] NNPACK.Conv_1x1s1_precompute (56 ms)
2022-05-18T03:47:25.4094857Z [ RUN      ] NNPACK.Conv_NxNs_grouped
2022-05-18T03:47:25.8895342Z [       OK ] NNPACK.Conv_NxNs_grouped (479 ms)
2022-05-18T03:47:25.8895842Z [ RUN      ] NNPACK.Conv_NxNs_grouped_precompute
2022-05-18T03:47:26.3276111Z [       OK ] NNPACK.Conv_NxNs_grouped_precompute (437 ms)
2022-05-18T03:47:26.3276568Z [ RUN      ] NNPACK.Conv_NxNsW
2022-05-18T03:47:26.3494894Z [       OK ] NNPACK.Conv_NxNsW (21 ms)
2022-05-18T03:47:26.3495388Z [ RUN      ] NNPACK.ConvRelu_NxNsW
2022-05-18T03:47:26.3528574Z [       OK ] NNPACK.ConvRelu_NxNsW (3 ms)
2022-05-18T03:47:26.3529005Z [ RUN      ] NNPACK.Conv_HxWsHxW
2022-05-18T03:47:26.3621064Z [       OK ] NNPACK.Conv_HxWsHxW (9 ms)
2022-05-18T03:47:26.3621615Z [----------] 13 tests from NNPACK (1880 ms total)
2022-05-18T03:47:26.3621869Z 
2022-05-18T03:47:26.3622153Z [----------] Global test environment tear-down
2022-05-18T03:47:26.3625858Z [==========] 13 tests from 1 test suite ran. (1881 ms total)
2022-05-18T03:47:26.3626267Z [  PASSED  ] 13 tests.
2022-05-18T03:47:26.4067745Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:26.4068078Z + case "$test" in
2022-05-18T03:47:26.4070221Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/observer_test
2022-05-18T03:47:26.4075344Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:26.4076145Z + /opt/conda/lib/python3.7/site-packages/torch/test/observer_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/observer_test.xml
2022-05-18T03:47:26.5805929Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:26.5806728Z [==========] Running 4 tests from 1 test suite.
2022-05-18T03:47:26.5807113Z [----------] Global test environment set-up.
2022-05-18T03:47:26.5807465Z [----------] 4 tests from ObserverTest
2022-05-18T03:47:26.5807827Z [ RUN      ] ObserverTest.TestNotify
2022-05-18T03:47:26.5808206Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:26.5809109Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:26.5809798Z [       OK ] ObserverTest.TestNotify (0 ms)
2022-05-18T03:47:26.5810283Z [ RUN      ] ObserverTest.TestUniqueMap
2022-05-18T03:47:26.5810884Z [       OK ] ObserverTest.TestUniqueMap (0 ms)
2022-05-18T03:47:26.5811430Z [ RUN      ] ObserverTest.TestNotifyAfterDetach
2022-05-18T03:47:26.5812026Z [       OK ] ObserverTest.TestNotifyAfterDetach (0 ms)
2022-05-18T03:47:26.5812381Z [ RUN      ] ObserverTest.TestDAGNetBase
2022-05-18T03:47:26.5816778Z [       OK ] ObserverTest.TestDAGNetBase (0 ms)
2022-05-18T03:47:26.5817392Z [----------] 4 tests from ObserverTest (1 ms total)
2022-05-18T03:47:26.5817564Z 
2022-05-18T03:47:26.5817790Z [----------] Global test environment tear-down
2022-05-18T03:47:26.5818938Z [==========] 4 tests from 1 test suite ran. (1 ms total)
2022-05-18T03:47:26.5819426Z [  PASSED  ] 4 tests.
2022-05-18T03:47:26.6244379Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:26.6244642Z + case "$test" in
2022-05-18T03:47:26.6246344Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/op_allowlist_test
2022-05-18T03:47:26.6252259Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:26.6252856Z + /opt/conda/lib/python3.7/site-packages/torch/test/op_allowlist_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/op_allowlist_test.xml
2022-05-18T03:47:26.7970552Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:26.7971214Z [==========] Running 0 tests from 0 test suites.
2022-05-18T03:47:26.7971906Z [==========] 0 tests from 0 test suites ran. (0 ms total)
2022-05-18T03:47:26.7972186Z [  PASSED  ] 0 tests.
2022-05-18T03:47:26.8387078Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:26.8387350Z + case "$test" in
2022-05-18T03:47:26.8389163Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/op_registration_test
2022-05-18T03:47:26.8395239Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:26.8396184Z + /opt/conda/lib/python3.7/site-packages/torch/test/op_registration_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/op_registration_test.xml
2022-05-18T03:47:27.0109249Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:27.0109952Z [==========] Running 77 tests from 2 test suites.
2022-05-18T03:47:27.0110400Z [----------] Global test environment set-up.
2022-05-18T03:47:27.0110934Z [----------] 49 tests from OperatorRegistrationTest
2022-05-18T03:47:27.0111935Z [ RUN      ] OperatorRegistrationTest.whenRegisteringWithSchemaBeforeKernelInOptionsObject_thenCanBeCalled
2022-05-18T03:47:27.0112998Z [       OK ] OperatorRegistrationTest.whenRegisteringWithSchemaBeforeKernelInOptionsObject_thenCanBeCalled (0 ms)
2022-05-18T03:47:27.0114361Z [ RUN      ] OperatorRegistrationTest.whenRegisteringWithSchemaAfterKernelInOptionsObject_thenCanBeCalled
2022-05-18T03:47:27.0116108Z [       OK ] OperatorRegistrationTest.whenRegisteringWithSchemaAfterKernelInOptionsObject_thenCanBeCalled (0 ms)
2022-05-18T03:47:27.0117334Z [ RUN      ] OperatorRegistrationTest.whenRegisteringWithNameBeforeKernelInOptionsObject_thenCanBeCalled
2022-05-18T03:47:27.0118589Z [       OK ] OperatorRegistrationTest.whenRegisteringWithNameBeforeKernelInOptionsObject_thenCanBeCalled (0 ms)
2022-05-18T03:47:27.0119888Z [ RUN      ] OperatorRegistrationTest.whenRegisteringWithNameAfterKernelInOptionsObject_thenCanBeCalled
2022-05-18T03:47:27.0121212Z [       OK ] OperatorRegistrationTest.whenRegisteringWithNameAfterKernelInOptionsObject_thenCanBeCalled (0 ms)
2022-05-18T03:47:27.0122308Z [ RUN      ] OperatorRegistrationTest.whenRegisteringWithoutSchema_thenFails
2022-05-18T03:47:27.0128299Z [       OK ] OperatorRegistrationTest.whenRegisteringWithoutSchema_thenFails (0 ms)
2022-05-18T03:47:27.0129320Z [ RUN      ] OperatorRegistrationTest.whenCallingOpWithWrongDispatchKey_thenFails
2022-05-18T03:47:27.0136896Z [       OK ] OperatorRegistrationTest.whenCallingOpWithWrongDispatchKey_thenFails (0 ms)
2022-05-18T03:47:27.0137616Z [ RUN      ] OperatorRegistrationTest.givenOpWithCatchallKernel_whenCallingOp_thenCallsCatchallKernel
2022-05-18T03:47:27.0138324Z [       OK ] OperatorRegistrationTest.givenOpWithCatchallKernel_whenCallingOp_thenCallsCatchallKernel (0 ms)
2022-05-18T03:47:27.0139230Z [ RUN      ] OperatorRegistrationTest.givenOpWithDispatchedKernelOutOfScope_whenRegisteringCatchallKernelAndCallingOp_thenCallsCatchallKernel
2022-05-18T03:47:27.0140571Z [       OK ] OperatorRegistrationTest.givenOpWithDispatchedKernelOutOfScope_whenRegisteringCatchallKernelAndCallingOp_thenCallsCatchallKernel (0 ms)
2022-05-18T03:47:27.0141655Z [ RUN      ] OperatorRegistrationTest.givenOpWithCatchallKernelOutOfScope_whenRegisteringDispatchedKernelAndCallingOp_thenCallsCatchallKernel
2022-05-18T03:47:27.0142612Z [       OK ] OperatorRegistrationTest.givenOpWithCatchallKernelOutOfScope_whenRegisteringDispatchedKernelAndCallingOp_thenCallsCatchallKernel (0 ms)
2022-05-18T03:47:27.0143328Z [ RUN      ] OperatorRegistrationTest.givenOpWithoutKernels_whenRegisteringWithSchema_thenOnlyRegistersSchema
2022-05-18T03:47:27.0149213Z [       OK ] OperatorRegistrationTest.givenOpWithoutKernels_whenRegisteringWithSchema_thenOnlyRegistersSchema (0 ms)
2022-05-18T03:47:27.0149885Z [ RUN      ] OperatorRegistrationTest.givenOpWithoutKernels_whenRegisteringWithoutSchema_thenFails
2022-05-18T03:47:27.0158191Z [       OK ] OperatorRegistrationTest.givenOpWithoutKernels_whenRegisteringWithoutSchema_thenFails (0 ms)
2022-05-18T03:47:27.0158999Z [ RUN      ] OperatorRegistrationTest.givenOpWithoutKernels_whenRunningOutOfScope_thenSchemaIsGone
2022-05-18T03:47:27.0159904Z [       OK ] OperatorRegistrationTest.givenOpWithoutKernels_whenRunningOutOfScope_thenSchemaIsGone (0 ms)
2022-05-18T03:47:27.0160973Z [ RUN      ] OperatorRegistrationTest.givenOpWithoutKernelsWithoutTensorInputs_whenRegistering_thenRegisters
2022-05-18T03:47:27.0161689Z [       OK ] OperatorRegistrationTest.givenOpWithoutKernelsWithoutTensorInputs_whenRegistering_thenRegisters (0 ms)
2022-05-18T03:47:27.0162381Z [ RUN      ] OperatorRegistrationTest.givenMultipleKernelsWithSameDispatchKey_whenRegisteringInSameOpCall_thenFails
2022-05-18T03:47:27.0169953Z [       OK ] OperatorRegistrationTest.givenMultipleKernelsWithSameDispatchKey_whenRegisteringInSameOpCall_thenFails (0 ms)
2022-05-18T03:47:27.0170670Z [ RUN      ] OperatorRegistrationTest.givenMultipleCatchallKernels_whenRegisteringInSameOpCall_thenFails
2022-05-18T03:47:27.0178371Z [       OK ] OperatorRegistrationTest.givenMultipleCatchallKernels_whenRegisteringInSameOpCall_thenFails (0 ms)
2022-05-18T03:47:27.0179110Z [ RUN      ] OperatorRegistrationTest.whenRegisteringCPUTensorType_thenCanOnlyCallUnboxedWithCPUDispatchKey
2022-05-18T03:47:27.0185542Z [       OK ] OperatorRegistrationTest.whenRegisteringCPUTensorType_thenCanOnlyCallUnboxedWithCPUDispatchKey (0 ms)
2022-05-18T03:47:27.0186351Z [ RUN      ] OperatorRegistrationTest.whenRegisteringMultipleKernelsInSameOpCallAndCalling_thenCallsCorrectKernel
2022-05-18T03:47:27.0204001Z [       OK ] OperatorRegistrationTest.whenRegisteringMultipleKernelsInSameOpCallAndCalling_thenCallsCorrectKernel (1 ms)
2022-05-18T03:47:27.0204860Z [ RUN      ] OperatorRegistrationTest.whenRegisteringMultipleKernelsByNameAndNoneCanInferSchema_thenFails
2022-05-18T03:47:27.0212714Z [       OK ] OperatorRegistrationTest.whenRegisteringMultipleKernelsByNameAndNoneCanInferSchema_thenFails (0 ms)
2022-05-18T03:47:27.0214037Z [ RUN      ] OperatorRegistrationTest.whenRegisteringMultipleKernelsBySchemaAndNoneCanInferSchema_thenSucceeds
2022-05-18T03:47:27.0215124Z [       OK ] OperatorRegistrationTest.whenRegisteringMultipleKernelsBySchemaAndNoneCanInferSchema_thenSucceeds (0 ms)
2022-05-18T03:47:27.0216418Z [ RUN      ] OperatorRegistrationTest.whenRegisteringMultipleKernelsByNameAndOnlyOneCanInferSchema_thenSucceeds
2022-05-18T03:47:27.0217539Z [       OK ] OperatorRegistrationTest.whenRegisteringMultipleKernelsByNameAndOnlyOneCanInferSchema_thenSucceeds (0 ms)
2022-05-18T03:47:27.0218359Z [ RUN      ] OperatorRegistrationTest.whenRegisteringMultipleKernelsBySchemaAndOnlyOneCanInferSchema_thenSucceeds
2022-05-18T03:47:27.0219192Z [       OK ] OperatorRegistrationTest.whenRegisteringMultipleKernelsBySchemaAndOnlyOneCanInferSchema_thenSucceeds (0 ms)
2022-05-18T03:47:27.0219927Z [ RUN      ] OperatorRegistrationTest.whenRegisteringMismatchingKernelsInSameOpCall_thenFails
2022-05-18T03:47:27.0233558Z [       OK ] OperatorRegistrationTest.whenRegisteringMismatchingKernelsInSameOpCall_thenFails (1 ms)
2022-05-18T03:47:27.0234261Z [ RUN      ] OperatorRegistrationTest.whenRegisteringBackendFallbackKernel_thenCanBeCalled
2022-05-18T03:47:27.0273433Z [       OK ] OperatorRegistrationTest.whenRegisteringBackendFallbackKernel_thenCanBeCalled (3 ms)
2022-05-18T03:47:27.0274138Z [ RUN      ] OperatorRegistrationTest.whenRegisteringBackendFallbackKernelForWrongBackend_thenCannotBeCalled
2022-05-18T03:47:27.0302569Z [       OK ] OperatorRegistrationTest.whenRegisteringBackendFallbackKernelForWrongBackend_thenCannotBeCalled (2 ms)
2022-05-18T03:47:27.0303480Z [ RUN      ] OperatorRegistrationTest.whenRegisteringBackendFallbackKernelAndRegularKernelForDifferentBackend_thenRegularKernelCanBeCalled
2022-05-18T03:47:27.0321874Z [       OK ] OperatorRegistrationTest.whenRegisteringBackendFallbackKernelAndRegularKernelForDifferentBackend_thenRegularKernelCanBeCalled (1 ms)
2022-05-18T03:47:27.0322889Z [ RUN      ] OperatorRegistrationTest.whenRegisteringBackendFallbackKernelAndRegularKernelForDifferentBackend_thenFallbackKernelCanBeCalled
2022-05-18T03:47:27.0340416Z [       OK ] OperatorRegistrationTest.whenRegisteringBackendFallbackKernelAndRegularKernelForDifferentBackend_thenFallbackKernelCanBeCalled (1 ms)
2022-05-18T03:47:27.0341382Z [ RUN      ] OperatorRegistrationTest.whenRegisteringBackendFallbackKernelAndRegularKernelForSameBackend_thenCallsRegularKernel
2022-05-18T03:47:27.0358966Z [       OK ] OperatorRegistrationTest.whenRegisteringBackendFallbackKernelAndRegularKernelForSameBackend_thenCallsRegularKernel (1 ms)
2022-05-18T03:47:27.0359728Z [ RUN      ] OperatorRegistrationTest.whenRegisteringAutogradKernel_thenCanCallAutogradKernel
2022-05-18T03:47:27.0366213Z [       OK ] OperatorRegistrationTest.whenRegisteringAutogradKernel_thenCanCallAutogradKernel (0 ms)
2022-05-18T03:47:27.0367123Z [ RUN      ] OperatorRegistrationTest.whenRegisteringAutogradKernelWithRegularKernel_thenCanCallAutogradKernel
2022-05-18T03:47:27.0368367Z [       OK ] OperatorRegistrationTest.whenRegisteringAutogradKernelWithRegularKernel_thenCanCallAutogradKernel (0 ms)
2022-05-18T03:47:27.0369264Z [ RUN      ] OperatorRegistrationTest.whenRegisteringAutogradKernelWithCatchAllKernel_thenCanCallAutogradKernel
2022-05-18T03:47:27.0370155Z [       OK ] OperatorRegistrationTest.whenRegisteringAutogradKernelWithCatchAllKernel_thenCanCallAutogradKernel (0 ms)
2022-05-18T03:47:27.0370930Z [ RUN      ] OperatorRegistrationTest.whenRegisteringAutogradKernelWithCatchAllKernel_thenCanCallCatchallKernel
2022-05-18T03:47:27.0371692Z [       OK ] OperatorRegistrationTest.whenRegisteringAutogradKernelWithCatchAllKernel_thenCanCallCatchallKernel (0 ms)
2022-05-18T03:47:27.0372337Z [ RUN      ] OperatorRegistrationTest.AutogradBackendOverridesAutogradKernel
2022-05-18T03:47:27.0383962Z [       OK ] OperatorRegistrationTest.AutogradBackendOverridesAutogradKernel (1 ms)
2022-05-18T03:47:27.0384517Z [ RUN      ] OperatorRegistrationTest.AutogradXLAOverridesAutogradKernel
2022-05-18T03:47:27.0391698Z [       OK ] OperatorRegistrationTest.AutogradXLAOverridesAutogradKernel (0 ms)
2022-05-18T03:47:27.0392318Z [ RUN      ] OperatorRegistrationTest.whenRegisterWithXLAKernelAndCatchAll_AutogradXLAIsNotFilled
2022-05-18T03:47:27.0394231Z [       OK ] OperatorRegistrationTest.whenRegisterWithXLAKernelAndCatchAll_AutogradXLAIsNotFilled (0 ms)
2022-05-18T03:47:27.0394870Z [ RUN      ] OperatorRegistrationTest.whenRegisterWithLazyKernelAndCatchAll_AutogradLazyIsNotFilled
2022-05-18T03:47:27.0396938Z [       OK ] OperatorRegistrationTest.whenRegisterWithLazyKernelAndCatchAll_AutogradLazyIsNotFilled (0 ms)
2022-05-18T03:47:27.0397540Z [ RUN      ] OperatorRegistrationTest.whenregisteringwithinvalidoverloadname
2022-05-18T03:47:27.0408627Z [       OK ] OperatorRegistrationTest.whenregisteringwithinvalidoverloadname (1 ms)
2022-05-18T03:47:27.0409260Z [ RUN      ] OperatorRegistrationTest.givenLambdaKernel_whenRegisteringWithMismatchingCppSignatures_thenFails
2022-05-18T03:47:27.0425242Z [       OK ] OperatorRegistrationTest.givenLambdaKernel_whenRegisteringWithMismatchingCppSignatures_thenFails (1 ms)
2022-05-18T03:47:27.0425982Z [ RUN      ] OperatorRegistrationTest.givenLambdaKernel_whenRegisteringCatchAllAndBackendWithMismatchingCppSignatures_thenFails
2022-05-18T03:47:27.0441903Z [       OK ] OperatorRegistrationTest.givenLambdaKernel_whenRegisteringCatchAllAndBackendWithMismatchingCppSignatures_thenFails (1 ms)
2022-05-18T03:47:27.0442712Z [ RUN      ] OperatorRegistrationTest.givenLambdaKernel_whenRegisteringBackendAndCatchAllWithMismatchingCppSignatures_thenFails
2022-05-18T03:47:27.0458686Z [       OK ] OperatorRegistrationTest.givenLambdaKernel_whenRegisteringBackendAndCatchAllWithMismatchingCppSignatures_thenFails (1 ms)
2022-05-18T03:47:27.0459418Z [ RUN      ] OperatorRegistrationTest.givenLambdaKernel_whenAccessingWithMismatchingCppSignatures_thenFails
2022-05-18T03:47:27.0465560Z [       OK ] OperatorRegistrationTest.givenLambdaKernel_whenAccessingWithMismatchingCppSignatures_thenFails (0 ms)
2022-05-18T03:47:27.0466243Z [ RUN      ] OperatorRegistrationTest.givenLambdaKernel_whenAccessingCatchAllWithMismatchingCppSignatures_thenFails
2022-05-18T03:47:27.0472536Z [       OK ] OperatorRegistrationTest.givenLambdaKernel_whenAccessingCatchAllWithMismatchingCppSignatures_thenFails (0 ms)
2022-05-18T03:47:27.0473201Z [ RUN      ] OperatorRegistrationTest.givenTorchLibrary_whenRegisteringWithMismatchingCppSignatures_thenFails
2022-05-18T03:47:27.0486104Z [       OK ] OperatorRegistrationTest.givenTorchLibrary_whenRegisteringWithMismatchingCppSignatures_thenFails (1 ms)
2022-05-18T03:47:27.0486750Z [ RUN      ] OperatorRegistrationTest.givenTorchLibrary_whenAccessingWithMismatchingCppSignatures_thenFails
2022-05-18T03:47:27.0492926Z [       OK ] OperatorRegistrationTest.givenTorchLibrary_whenAccessingWithMismatchingCppSignatures_thenFails (0 ms)
2022-05-18T03:47:27.0493622Z [ RUN      ] OperatorRegistrationTest.givenTorchLibrary_whenAccessingCatchAllWithMismatchingCppSignatures_thenFails
2022-05-18T03:47:27.0499550Z [       OK ] OperatorRegistrationTest.givenTorchLibrary_whenAccessingCatchAllWithMismatchingCppSignatures_thenFails (0 ms)
2022-05-18T03:47:27.0500111Z [ RUN      ] OperatorRegistrationTest.testAvailableArgTypes
2022-05-18T03:47:27.0895437Z [       OK ] OperatorRegistrationTest.testAvailableArgTypes (39 ms)
2022-05-18T03:47:27.0896425Z [ RUN      ] OperatorRegistrationTest.callKernelsWithDispatchKeySetConvention_call_redispatchesToLowerPriorityKernels
2022-05-18T03:47:27.0897381Z [       OK ] OperatorRegistrationTest.callKernelsWithDispatchKeySetConvention_call_redispatchesToLowerPriorityKernels (0 ms)
2022-05-18T03:47:27.0898407Z [ RUN      ] OperatorRegistrationTest.callKernelsWithDispatchKeySetConvention_callBoxed_redispatchesToLowerPriorityKernels
2022-05-18T03:47:27.0899687Z [       OK ] OperatorRegistrationTest.callKernelsWithDispatchKeySetConvention_callBoxed_redispatchesToLowerPriorityKernels (0 ms)
2022-05-18T03:47:27.0900474Z [ RUN      ] OperatorRegistrationTest.callKernelsWithDispatchKeySetConvention_mixedCallingConventions_redispatchesToLowerPriorityKernels
2022-05-18T03:47:27.0901294Z [       OK ] OperatorRegistrationTest.callKernelsWithDispatchKeySetConvention_mixedCallingConventions_redispatchesToLowerPriorityKernels (0 ms)
2022-05-18T03:47:27.0901933Z [ RUN      ] OperatorRegistrationTest.getRegistrationsForDispatchKey
2022-05-18T03:47:27.1448025Z [       OK ] OperatorRegistrationTest.getRegistrationsForDispatchKey (54 ms)
2022-05-18T03:47:27.1448879Z [----------] 49 tests from OperatorRegistrationTest (133 ms total)
2022-05-18T03:47:27.1449169Z 
2022-05-18T03:47:27.1449383Z [----------] 28 tests from NewOperatorRegistrationTest
2022-05-18T03:47:27.1449846Z [ RUN      ] NewOperatorRegistrationTest.erroroutwithinvalidoverloadname
2022-05-18T03:47:27.1466124Z [       OK ] NewOperatorRegistrationTest.erroroutwithinvalidoverloadname (1 ms)
2022-05-18T03:47:27.1466708Z [ RUN      ] NewOperatorRegistrationTest.testBasics
2022-05-18T03:47:27.1472346Z [       OK ] NewOperatorRegistrationTest.testBasics (0 ms)
2022-05-18T03:47:27.1472758Z [ RUN      ] NewOperatorRegistrationTest.importTopLevel
2022-05-18T03:47:27.1476533Z [       OK ] NewOperatorRegistrationTest.importTopLevel (0 ms)
2022-05-18T03:47:27.1476925Z [ RUN      ] NewOperatorRegistrationTest.overload
2022-05-18T03:47:27.1478977Z [       OK ] NewOperatorRegistrationTest.overload (0 ms)
2022-05-18T03:47:27.1479380Z [ RUN      ] NewOperatorRegistrationTest.importNamespace
2022-05-18T03:47:27.1489002Z [       OK ] NewOperatorRegistrationTest.importNamespace (0 ms)
2022-05-18T03:47:27.1489399Z [ RUN      ] NewOperatorRegistrationTest.schema
2022-05-18T03:47:27.1492145Z [       OK ] NewOperatorRegistrationTest.schema (0 ms)
2022-05-18T03:47:27.1492855Z [ RUN      ] NewOperatorRegistrationTest.whenRegisteringBackendFallbackKernelAndCatchallKernelForSameBackend_thenCallsFallbackKernel
2022-05-18T03:47:27.1535081Z [       OK ] NewOperatorRegistrationTest.whenRegisteringBackendFallbackKernelAndCatchallKernelForSameBackend_thenCallsFallbackKernel (4 ms)
2022-05-18T03:47:27.1536269Z [ RUN      ] NewOperatorRegistrationTest.whenRegisteringAutogradKernelWithRegularKernel_thenCanCallRegularKernel
2022-05-18T03:47:27.1537271Z [       OK ] NewOperatorRegistrationTest.whenRegisteringAutogradKernelWithRegularKernel_thenCanCallRegularKernel (0 ms)
2022-05-18T03:47:27.1538233Z [ RUN      ] NewOperatorRegistrationTest.dispatchWithCompositeImplicitAutogradKernel
2022-05-18T03:47:27.1539538Z [       OK ] NewOperatorRegistrationTest.dispatchWithCompositeImplicitAutogradKernel (0 ms)
2022-05-18T03:47:27.1540473Z [ RUN      ] NewOperatorRegistrationTest.dispatchWithCompositeImplicitAutogradAndAutogradKernel
2022-05-18T03:47:27.1541454Z [       OK ] NewOperatorRegistrationTest.dispatchWithCompositeImplicitAutogradAndAutogradKernel (0 ms)
2022-05-18T03:47:27.1542274Z [ RUN      ] NewOperatorRegistrationTest.dispatchWithCompositeImplicitAutogradAndCatchAllKernel
2022-05-18T03:47:27.1542994Z [W OperatorEntry.cpp:133] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key
2022-05-18T03:47:27.1543557Z   operator: test::fn(Tensor _0) -> (Tensor _0)
2022-05-18T03:47:27.1543968Z     registered at /var/lib/jenkins/workspace/aten/src/ATen/core/op_registration/op_registration_test.cpp:1460
2022-05-18T03:47:27.1544266Z   dispatch key: (catch all)
2022-05-18T03:47:27.1544590Z   previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/op_registration/op_registration_test.cpp:1460
2022-05-18T03:47:27.1545278Z        new kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/core/op_registration/op_registration_test.cpp:1460 (function registerKernel)
2022-05-18T03:47:27.1546119Z [       OK ] NewOperatorRegistrationTest.dispatchWithCompositeImplicitAutogradAndCatchAllKernel (0 ms)
2022-05-18T03:47:27.1547110Z [ RUN      ] NewOperatorRegistrationTest.AutogradBackendOverridesCompositeImplicitAutogradKernel
2022-05-18T03:47:27.1547937Z [       OK ] NewOperatorRegistrationTest.AutogradBackendOverridesCompositeImplicitAutogradKernel (0 ms)
2022-05-18T03:47:27.1548768Z [ RUN      ] NewOperatorRegistrationTest.BackendOverridesCompositeImplicitAutogradKernel
2022-05-18T03:47:27.1549566Z [       OK ] NewOperatorRegistrationTest.BackendOverridesCompositeImplicitAutogradKernel (0 ms)
2022-05-18T03:47:27.1550224Z [ RUN      ] NewOperatorRegistrationTest.dispatchWithCompositeExplicitAutogradKernel
2022-05-18T03:47:27.1550850Z [       OK ] NewOperatorRegistrationTest.dispatchWithCompositeExplicitAutogradKernel (0 ms)
2022-05-18T03:47:27.1551854Z [ RUN      ] NewOperatorRegistrationTest.dispatchWithCompositeExplicitAutogradAndCompositeImplicitAutogradKernel
2022-05-18T03:47:27.1553394Z [       OK ] NewOperatorRegistrationTest.dispatchWithCompositeExplicitAutogradAndCompositeImplicitAutogradKernel (0 ms)
2022-05-18T03:47:27.1554336Z [ RUN      ] NewOperatorRegistrationTest.BackendOverridesCompositeExplicitAutogradKernel
2022-05-18T03:47:27.1555002Z [       OK ] NewOperatorRegistrationTest.BackendOverridesCompositeExplicitAutogradKernel (0 ms)
2022-05-18T03:47:27.1555515Z [ RUN      ] NewOperatorRegistrationTest.dispatch
2022-05-18T03:47:27.1555906Z [       OK ] NewOperatorRegistrationTest.dispatch (0 ms)
2022-05-18T03:47:27.1556351Z [ RUN      ] NewOperatorRegistrationTest.dispatchAutogradPrecedence
2022-05-18T03:47:27.1556853Z [       OK ] NewOperatorRegistrationTest.dispatchAutogradPrecedence (0 ms)
2022-05-18T03:47:27.1557442Z [ RUN      ] NewOperatorRegistrationTest.throwsWhenRegisterToBackendMapsToAutogradOther
2022-05-18T03:47:27.1561640Z [       OK ] NewOperatorRegistrationTest.throwsWhenRegisterToBackendMapsToAutogradOther (0 ms)
2022-05-18T03:47:27.1562261Z [ RUN      ] NewOperatorRegistrationTest.dispatchMultipleTensors
2022-05-18T03:47:27.1589169Z [       OK ] NewOperatorRegistrationTest.dispatchMultipleTensors (2 ms)
2022-05-18T03:47:27.1590015Z [ RUN      ] NewOperatorRegistrationTest.registerCompositeImplicitAutogradWithCPUKernel_andCallAutogradOtherKernel_callsComposite
2022-05-18T03:47:27.1591379Z [       OK ] NewOperatorRegistrationTest.registerCompositeImplicitAutogradWithCPUKernel_andCallAutogradOtherKernel_callsComposite (0 ms)
2022-05-18T03:47:27.1592464Z [ RUN      ] NewOperatorRegistrationTest.dispatchMultiple
2022-05-18T03:47:27.1592911Z [       OK ] NewOperatorRegistrationTest.dispatchMultiple (0 ms)
2022-05-18T03:47:27.1593313Z [ RUN      ] NewOperatorRegistrationTest.fallback
2022-05-18T03:47:27.1620229Z [       OK ] NewOperatorRegistrationTest.fallback (2 ms)
2022-05-18T03:47:27.1621029Z [ RUN      ] NewOperatorRegistrationTest.BackendSelectRedispatchesToCPU
2022-05-18T03:47:27.1621873Z [       OK ] NewOperatorRegistrationTest.BackendSelectRedispatchesToCPU (0 ms)
2022-05-18T03:47:27.1622383Z [ RUN      ] NewOperatorRegistrationTest.TorchLibraryTwiceIsError
2022-05-18T03:47:27.1630941Z [       OK ] NewOperatorRegistrationTest.TorchLibraryTwiceIsError (0 ms)
2022-05-18T03:47:27.1631563Z [ RUN      ] NewOperatorRegistrationTest.CppFunction
2022-05-18T03:47:27.1636555Z [       OK ] NewOperatorRegistrationTest.CppFunction (0 ms)
2022-05-18T03:47:27.1637208Z [ RUN      ] NewOperatorRegistrationTest.testDelayedListener
2022-05-18T03:47:27.1638939Z [       OK ] NewOperatorRegistrationTest.testDelayedListener (0 ms)
2022-05-18T03:47:27.1639608Z [ RUN      ] NewOperatorRegistrationTest.testImplNoDefGetsCaught
2022-05-18T03:47:27.1640104Z [       OK ] NewOperatorRegistrationTest.testImplNoDefGetsCaught (0 ms)
2022-05-18T03:47:27.1640569Z [----------] 28 tests from NewOperatorRegistrationTest (19 ms total)
2022-05-18T03:47:27.1640764Z 
2022-05-18T03:47:27.1640928Z [----------] Global test environment tear-down
2022-05-18T03:47:27.1653794Z [==========] 77 tests from 2 test suites ran. (153 ms total)
2022-05-18T03:47:27.1654073Z [  PASSED  ] 77 tests.
2022-05-18T03:47:27.2058162Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:27.2058391Z + case "$test" in
2022-05-18T03:47:27.2061048Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/operator_schema_test
2022-05-18T03:47:27.2067679Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:27.2068276Z + /opt/conda/lib/python3.7/site-packages/torch/test/operator_schema_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/operator_schema_test.xml
2022-05-18T03:47:27.3793571Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:27.3794346Z [==========] Running 10 tests from 1 test suite.
2022-05-18T03:47:27.3794808Z [----------] Global test environment set-up.
2022-05-18T03:47:27.3795269Z [----------] 10 tests from OperatorSchemaTest
2022-05-18T03:47:27.3795788Z [ RUN      ] OperatorSchemaTest.BasicSchema
2022-05-18T03:47:27.3796335Z [E operator_schema.cc:33] Input size 2 not in range [min=1, max=1].
2022-05-18T03:47:27.3796867Z [E operator_schema.cc:45] Output size 2 not in range [min=1, max=1].
2022-05-18T03:47:27.3797509Z [       OK ] OperatorSchemaTest.BasicSchema (0 ms)
2022-05-18T03:47:27.3798226Z [ RUN      ] OperatorSchemaTest.SpecifiedInputOutput
2022-05-18T03:47:27.3798812Z [E operator_schema.cc:39] Input size 1 not in allowed input sizes.
2022-05-18T03:47:27.3799257Z [E operator_schema.cc:51] Output size 2 not in allowed output sizes.
2022-05-18T03:47:27.3799849Z [       OK ] OperatorSchemaTest.SpecifiedInputOutput (0 ms)
2022-05-18T03:47:27.3800473Z [ RUN      ] OperatorSchemaTest.InputOutputRelation
2022-05-18T03:47:27.3801022Z [E operator_schema.cc:56] Combination of input size 3and output size 2 not in allowed.
2022-05-18T03:47:27.3801684Z [       OK ] OperatorSchemaTest.InputOutputRelation (0 ms)
2022-05-18T03:47:27.3802282Z [ RUN      ] OperatorSchemaTest.SameInputOutput
2022-05-18T03:47:27.3802779Z [E operator_schema.cc:65] Output size 3 not matching expected output size, which is 2
2022-05-18T03:47:27.3803622Z [       OK ] OperatorSchemaTest.SameInputOutput (0 ms)
2022-05-18T03:47:27.3804344Z [ RUN      ] OperatorSchemaTest.CalculateOutput
2022-05-18T03:47:27.3804733Z [E operator_schema.cc:45] Output size 1 not in range [min=2, max=6].
2022-05-18T03:47:27.3805139Z [E operator_schema.cc:65] Output size 2 not matching expected output size, which is 3
2022-05-18T03:47:27.3805654Z [       OK ] OperatorSchemaTest.CalculateOutput (0 ms)
2022-05-18T03:47:27.3806121Z [ RUN      ] OperatorSchemaTest.Inplace
2022-05-18T03:47:27.3806884Z [E operator_schema.cc:88] Input index 1 (in2) and output idx 1 (out2) are not in-place but should be as required by op OpSchemaInplace
2022-05-18T03:47:27.3807607Z [E operator_schema.cc:88] Input index 1 (in2) and output idx 1 (out2) are not in-place but should be as required by op OpSchemaInplace
2022-05-18T03:47:27.3808151Z [       OK ] OperatorSchemaTest.Inplace (0 ms)
2022-05-18T03:47:27.3808656Z [ RUN      ] OperatorSchemaTest.TensorInferenceIdentical
2022-05-18T03:47:27.3809223Z [       OK ] OperatorSchemaTest.TensorInferenceIdentical (0 ms)
2022-05-18T03:47:27.3809765Z [ RUN      ] OperatorSchemaTest.TensorInferenceArbitrary
2022-05-18T03:47:27.3810482Z [       OK ] OperatorSchemaTest.TensorInferenceArbitrary (0 ms)
2022-05-18T03:47:27.3811001Z [ RUN      ] OperatorSchemaTest.TestCastSchema
2022-05-18T03:47:27.3811479Z [       OK ] OperatorSchemaTest.TestCastSchema (0 ms)
2022-05-18T03:47:27.3811984Z [ RUN      ] OperatorSchemaTest.TestCostInference
2022-05-18T03:47:27.3812495Z [       OK ] OperatorSchemaTest.TestCostInference (0 ms)
2022-05-18T03:47:27.3812985Z [----------] 10 tests from OperatorSchemaTest (0 ms total)
2022-05-18T03:47:27.3813231Z 
2022-05-18T03:47:27.3813468Z [----------] Global test environment tear-down
2022-05-18T03:47:27.3813902Z [==========] 10 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:47:27.3814245Z [  PASSED  ] 10 tests.
2022-05-18T03:47:27.4212730Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:27.4213063Z + case "$test" in
2022-05-18T03:47:27.4214667Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/operator_test
2022-05-18T03:47:27.4220088Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:27.4220682Z + /opt/conda/lib/python3.7/site-packages/torch/test/operator_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/operator_test.xml
2022-05-18T03:47:27.5951957Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:27.5952805Z [==========] Running 25 tests from 6 test suites.
2022-05-18T03:47:27.5953220Z [----------] Global test environment set-up.
2022-05-18T03:47:27.5953578Z [----------] 13 tests from OperatorTest
2022-05-18T03:47:27.5954104Z [ RUN      ] OperatorTest.DeviceTypeRegistryWorks
2022-05-18T03:47:27.5954786Z [       OK ] OperatorTest.DeviceTypeRegistryWorks (0 ms)
2022-05-18T03:47:27.5955134Z [ RUN      ] OperatorTest.RegistryWorks
2022-05-18T03:47:27.5955434Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:27.5955790Z [       OK ] OperatorTest.RegistryWorks (0 ms)
2022-05-18T03:47:27.5956120Z [ RUN      ] OperatorTest.RegistryWrongDevice
2022-05-18T03:47:27.5956459Z [E operator.cc:207] Cannot find operator schema for JustTypeCPUOnly. Will skip schema checking.
2022-05-18T03:47:27.5966802Z [       OK ] OperatorTest.RegistryWrongDevice (1 ms)
2022-05-18T03:47:27.5967390Z [ RUN      ] OperatorTest.ExceptionWorks
2022-05-18T03:47:27.5990299Z [       OK ] OperatorTest.ExceptionWorks (2 ms)
2022-05-18T03:47:27.5991006Z [ RUN      ] OperatorTest.FallbackIfEngineDoesNotBuild
2022-05-18T03:47:27.5991905Z [W operator.cc:178] Operator JustTest does not support the requested feature. Msg: I just don't construct.. Proto is: type: "JustTest" engine: "FOO"
2022-05-18T03:47:27.5992635Z [       OK ] OperatorTest.FallbackIfEngineDoesNotBuild (0 ms)
2022-05-18T03:47:27.5993017Z [ RUN      ] OperatorTest.MultipleEngineChoices
2022-05-18T03:47:27.5993534Z [W operator.cc:178] Operator JustTest does not support the requested feature. Msg: I just don't construct.. Proto is: type: "JustTest" engine: "FOO,BAR"
2022-05-18T03:47:27.5993993Z [       OK ] OperatorTest.MultipleEngineChoices (0 ms)
2022-05-18T03:47:27.5994367Z [ RUN      ] OperatorTest.CannotUseUninitializedBlob
2022-05-18T03:47:27.5994675Z [W workspace.cc:188] Blob input not in the workspace.
2022-05-18T03:47:27.6007356Z [       OK ] OperatorTest.CannotUseUninitializedBlob (1 ms)
2022-05-18T03:47:27.6007932Z [ RUN      ] OperatorTest.TestParameterAccess
2022-05-18T03:47:27.6008288Z [       OK ] OperatorTest.TestParameterAccess (0 ms)
2022-05-18T03:47:27.6008698Z [ RUN      ] OperatorTest.CannotAccessParameterWithWrongType
2022-05-18T03:47:27.6014726Z [       OK ] OperatorTest.CannotAccessParameterWithWrongType (0 ms)
2022-05-18T03:47:27.6015552Z [ RUN      ] OperatorTest.TestDefaultValue
2022-05-18T03:47:27.6015965Z [       OK ] OperatorTest.TestDefaultValue (0 ms)
2022-05-18T03:47:27.6016323Z [ RUN      ] OperatorTest.TestSetUp
2022-05-18T03:47:27.6016642Z [       OK ] OperatorTest.TestSetUp (0 ms)
2022-05-18T03:47:27.6016984Z [ RUN      ] OperatorTest.TestSetUpInputOutputCount
2022-05-18T03:47:27.6017297Z [E operator_schema.cc:33] Input size 2 not in range [min=0, max=1].
2022-05-18T03:47:27.6021943Z [E operator_schema.cc:45] Output size 2 not in range [min=0, max=1].
2022-05-18T03:47:27.6029164Z [       OK ] OperatorTest.TestSetUpInputOutputCount (1 ms)
2022-05-18T03:47:27.6029789Z [ RUN      ] OperatorTest.TestOutputValues
2022-05-18T03:47:27.6030332Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:27.6030906Z [       OK ] OperatorTest.TestOutputValues (0 ms)
2022-05-18T03:47:27.6031262Z [----------] 13 tests from OperatorTest (7 ms total)
2022-05-18T03:47:27.6031429Z 
2022-05-18T03:47:27.6031575Z [----------] 2 tests from NetTest
2022-05-18T03:47:27.6031892Z [ RUN      ] NetTest.TestScaffoldingSimpleNet
2022-05-18T03:47:27.6032243Z [       OK ] NetTest.TestScaffoldingSimpleNet (0 ms)
2022-05-18T03:47:27.6032585Z [ RUN      ] NetTest.TestScaffoldingDAGNet
2022-05-18T03:47:27.6033380Z [       OK ] NetTest.TestScaffoldingDAGNet (0 ms)
2022-05-18T03:47:27.6049958Z [----------] 2 tests from NetTest (0 ms total)
2022-05-18T03:47:27.6050270Z 
2022-05-18T03:47:27.6050616Z [----------] 1 test from OperatorGradientRegistryTest
2022-05-18T03:47:27.6051304Z [ RUN      ] OperatorGradientRegistryTest.GradientSimple
2022-05-18T03:47:27.6052035Z [       OK ] OperatorGradientRegistryTest.GradientSimple (0 ms)
2022-05-18T03:47:27.6052796Z [----------] 1 test from OperatorGradientRegistryTest (0 ms total)
2022-05-18T03:47:27.6053113Z 
2022-05-18T03:47:27.6053278Z [----------] 6 tests from EnginePrefTest
2022-05-18T03:47:27.6053621Z [ RUN      ] EnginePrefTest.PerOpEnginePref
2022-05-18T03:47:27.6053974Z [       OK ] EnginePrefTest.PerOpEnginePref (0 ms)
2022-05-18T03:47:27.6054309Z [ RUN      ] EnginePrefTest.GlobalEnginePref
2022-05-18T03:47:27.6054785Z [W operator.cc:178] Operator JustTest does not support the requested feature. Msg: I just don't construct.. Proto is: type: "JustTest"
2022-05-18T03:47:27.6055333Z [W operator.cc:178] Operator JustTest does not support the requested feature. Msg: I just don't construct.. Proto is: type: "JustTest"
2022-05-18T03:47:27.6055759Z [       OK ] EnginePrefTest.GlobalEnginePref (0 ms)
2022-05-18T03:47:27.6056159Z [ RUN      ] EnginePrefTest.GlobalEnginePrefAndPerOpEnginePref
2022-05-18T03:47:27.6056793Z [       OK ] EnginePrefTest.GlobalEnginePrefAndPerOpEnginePref (0 ms)
2022-05-18T03:47:27.6057290Z [ RUN      ] EnginePrefTest.GlobalEnginePrefAndPerOpEnginePrefAndOpDef
2022-05-18T03:47:27.6057915Z [       OK ] EnginePrefTest.GlobalEnginePrefAndPerOpEnginePrefAndOpDef (0 ms)
2022-05-18T03:47:27.6058400Z [ RUN      ] EnginePrefTest.SetOpEnginePref
2022-05-18T03:47:27.6058919Z [       OK ] EnginePrefTest.SetOpEnginePref (0 ms)
2022-05-18T03:47:27.6059538Z [ RUN      ] EnginePrefTest.SetDefaultEngine
2022-05-18T03:47:27.6059891Z [       OK ] EnginePrefTest.SetDefaultEngine (0 ms)
2022-05-18T03:47:27.6060248Z [----------] 6 tests from EnginePrefTest (0 ms total)
2022-05-18T03:47:27.6060409Z 
2022-05-18T03:47:27.6060560Z [----------] 1 test from RequiredArg
2022-05-18T03:47:27.6060819Z [ RUN      ] RequiredArg.Basic
2022-05-18T03:47:27.6061218Z [E operator_schema.cc:106] Argument 'test_arg' is required for Operator 'JustTestWithRequiredArg'.
2022-05-18T03:47:27.6061589Z [       OK ] RequiredArg.Basic (0 ms)
2022-05-18T03:47:27.6061987Z [----------] 1 test from RequiredArg (0 ms total)
2022-05-18T03:47:27.6062130Z 
2022-05-18T03:47:27.6062279Z [----------] 2 tests from IsTestArg
2022-05-18T03:47:27.6062550Z [ RUN      ] IsTestArg.standard
2022-05-18T03:47:27.6062964Z [E operator_schema.cc:106] Argument 'is_test' is required for Operator 'JustTestWithStandardIsTestArg'.
2022-05-18T03:47:27.6063345Z [       OK ] IsTestArg.standard (0 ms)
2022-05-18T03:47:27.6063631Z [ RUN      ] IsTestArg.non_standard
2022-05-18T03:47:27.6063923Z [       OK ] IsTestArg.non_standard (0 ms)
2022-05-18T03:47:27.6064235Z [----------] 2 tests from IsTestArg (0 ms total)
2022-05-18T03:47:27.6064376Z 
2022-05-18T03:47:27.6064554Z [----------] Global test environment tear-down
2022-05-18T03:47:27.6066216Z [==========] 25 tests from 6 test suites ran. (10 ms total)
2022-05-18T03:47:27.6066503Z [  PASSED  ] 25 tests.
2022-05-18T03:47:27.6066627Z 
2022-05-18T03:47:27.6066747Z   YOU HAVE 1 DISABLED TEST
2022-05-18T03:47:27.6066875Z 
2022-05-18T03:47:27.6506148Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:27.6506399Z + case "$test" in
2022-05-18T03:47:27.6508658Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/operators_test
2022-05-18T03:47:27.6514529Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:27.6515074Z + /opt/conda/lib/python3.7/site-packages/torch/test/operators_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/operators_test.xml
2022-05-18T03:47:27.8232691Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:27.8233159Z [==========] Running 4 tests from 1 test suite.
2022-05-18T03:47:27.8233536Z [----------] Global test environment set-up.
2022-05-18T03:47:27.8233854Z [----------] 4 tests from OperatorsTest
2022-05-18T03:47:27.8234263Z [ RUN      ] OperatorsTest.TestFunctionDecltype
2022-05-18T03:47:27.8413662Z [       OK ] OperatorsTest.TestFunctionDecltype (18 ms)
2022-05-18T03:47:27.8414167Z [ RUN      ] OperatorsTest.TestMethodOnlyDecltype
2022-05-18T03:47:27.8414554Z [       OK ] OperatorsTest.TestMethodOnlyDecltype (0 ms)
2022-05-18T03:47:27.8414962Z [ RUN      ] OperatorsTest.Test_ATEN_FN
2022-05-18T03:47:27.8436147Z [       OK ] OperatorsTest.Test_ATEN_FN (2 ms)
2022-05-18T03:47:27.8436760Z [ RUN      ] OperatorsTest.TestOutVariantIsFaithful
2022-05-18T03:47:27.8437388Z [       OK ] OperatorsTest.TestOutVariantIsFaithful (0 ms)
2022-05-18T03:47:27.8437755Z [----------] 4 tests from OperatorsTest (20 ms total)
2022-05-18T03:47:27.8437918Z 
2022-05-18T03:47:27.8438093Z [----------] Global test environment tear-down
2022-05-18T03:47:27.8439887Z [==========] 4 tests from 1 test suite ran. (20 ms total)
2022-05-18T03:47:27.8440376Z [  PASSED  ] 4 tests.
2022-05-18T03:47:27.8867845Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:27.8868367Z + case "$test" in
2022-05-18T03:47:27.8868916Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/parallel_net_test
2022-05-18T03:47:27.8869577Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:27.8870108Z + /opt/conda/lib/python3.7/site-packages/torch/test/parallel_net_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/parallel_net_test.xml
2022-05-18T03:47:28.0593799Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:28.0594497Z [==========] Running 10 tests from 2 test suites.
2022-05-18T03:47:28.0594805Z [----------] Global test environment set-up.
2022-05-18T03:47:28.0595115Z [----------] 5 tests from DAGNetTest
2022-05-18T03:47:28.0595435Z [ RUN      ] DAGNetTest.TestDAGNetTiming
2022-05-18T03:47:28.0601963Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:28.0604072Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:28.4613550Z [       OK ] DAGNetTest.TestDAGNetTiming (401 ms)
2022-05-18T03:47:28.4614006Z [ RUN      ] DAGNetTest.TestDAGNetTimingReadAfterRead
2022-05-18T03:47:28.9620811Z [       OK ] DAGNetTest.TestDAGNetTimingReadAfterRead (500 ms)
2022-05-18T03:47:28.9621341Z [ RUN      ] DAGNetTest.TestDAGNetTimingWriteAfterWrite
2022-05-18T03:47:29.6629099Z [       OK ] DAGNetTest.TestDAGNetTimingWriteAfterWrite (700 ms)
2022-05-18T03:47:29.6629561Z [ RUN      ] DAGNetTest.TestDAGNetTimingWriteAfterRead
2022-05-18T03:47:30.3636845Z [       OK ] DAGNetTest.TestDAGNetTimingWriteAfterRead (700 ms)
2022-05-18T03:47:30.3637339Z [ RUN      ] DAGNetTest.TestDAGNetTimingControlDependency
2022-05-18T03:47:31.0645386Z [       OK ] DAGNetTest.TestDAGNetTimingControlDependency (700 ms)
2022-05-18T03:47:31.0645835Z [----------] 5 tests from DAGNetTest (3005 ms total)
2022-05-18T03:47:31.0645996Z 
2022-05-18T03:47:31.0646161Z [----------] 5 tests from SimpleNetTest
2022-05-18T03:47:31.0646491Z [ RUN      ] SimpleNetTest.TestSimpleNetTiming
2022-05-18T03:47:31.7650866Z [       OK ] SimpleNetTest.TestSimpleNetTiming (700 ms)
2022-05-18T03:47:31.7651323Z [ RUN      ] SimpleNetTest.TestSimpleNetTimingReadAfterRead
2022-05-18T03:47:32.4656637Z [       OK ] SimpleNetTest.TestSimpleNetTimingReadAfterRead (700 ms)
2022-05-18T03:47:32.4657127Z [ RUN      ] SimpleNetTest.TestSimpleNetTimingWriteAfterWrite
2022-05-18T03:47:33.1662078Z [       OK ] SimpleNetTest.TestSimpleNetTimingWriteAfterWrite (700 ms)
2022-05-18T03:47:33.1662587Z [ RUN      ] SimpleNetTest.TestSimpleNetTimingWriteAfterRead
2022-05-18T03:47:33.8667156Z [       OK ] SimpleNetTest.TestSimpleNetTimingWriteAfterRead (700 ms)
2022-05-18T03:47:33.8667644Z [ RUN      ] SimpleNetTest.TestSimpleNetTimingControlDependency
2022-05-18T03:47:34.5672704Z [       OK ] SimpleNetTest.TestSimpleNetTimingControlDependency (700 ms)
2022-05-18T03:47:34.5673169Z [----------] 5 tests from SimpleNetTest (3502 ms total)
2022-05-18T03:47:34.5673343Z 
2022-05-18T03:47:34.5673523Z [----------] Global test environment tear-down
2022-05-18T03:47:34.5675545Z [==========] 10 tests from 2 test suites ran. (6507 ms total)
2022-05-18T03:47:34.5675827Z [  PASSED  ] 10 tests.
2022-05-18T03:47:34.6104161Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:34.6104452Z + case "$test" in
2022-05-18T03:47:34.6106704Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/pattern_net_transform_test
2022-05-18T03:47:34.6111835Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:34.6112661Z + /opt/conda/lib/python3.7/site-packages/torch/test/pattern_net_transform_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/pattern_net_transform_test.xml
2022-05-18T03:47:34.7815061Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:34.7815814Z [==========] Running 9 tests from 1 test suite.
2022-05-18T03:47:34.7816382Z [----------] Global test environment set-up.
2022-05-18T03:47:34.7816990Z [----------] 9 tests from PatternNetTransformTest
2022-05-18T03:47:34.7817697Z [ RUN      ] PatternNetTransformTest.TestGenerateTransform
2022-05-18T03:47:34.7818478Z [       OK ] PatternNetTransformTest.TestGenerateTransform (0 ms)
2022-05-18T03:47:34.7818967Z [ RUN      ] PatternNetTransformTest.TestRepeatedTransform
2022-05-18T03:47:34.7840168Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:34.7842617Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:34.7854332Z [       OK ] PatternNetTransformTest.TestRepeatedTransform (3 ms)
2022-05-18T03:47:34.7854769Z [ RUN      ] PatternNetTransformTest.TestHardTransform
2022-05-18T03:47:34.7857507Z [       OK ] PatternNetTransformTest.TestHardTransform (0 ms)
2022-05-18T03:47:34.7858146Z [ RUN      ] PatternNetTransformTest.TestGeneralStringMatching
2022-05-18T03:47:34.7858944Z [       OK ] PatternNetTransformTest.TestGeneralStringMatching (0 ms)
2022-05-18T03:47:34.7859747Z [ RUN      ] PatternNetTransformTest.TestDeviceOptionMatching
2022-05-18T03:47:34.7860362Z [       OK ] PatternNetTransformTest.TestDeviceOptionMatching (0 ms)
2022-05-18T03:47:34.7860912Z [ RUN      ] PatternNetTransformTest.TestEngineMatching
2022-05-18T03:47:34.7861430Z [       OK ] PatternNetTransformTest.TestEngineMatching (0 ms)
2022-05-18T03:47:34.7862094Z [ RUN      ] PatternNetTransformTest.TestSingularArgumentMatching
2022-05-18T03:47:34.7862806Z [       OK ] PatternNetTransformTest.TestSingularArgumentMatching (0 ms)
2022-05-18T03:47:34.7863316Z [ RUN      ] PatternNetTransformTest.TestNonStrictTopographicTransform
2022-05-18T03:47:34.7863840Z [       OK ] PatternNetTransformTest.TestNonStrictTopographicTransform (0 ms)
2022-05-18T03:47:34.7864350Z [ RUN      ] PatternNetTransformTest.TestMultiInputOutputTransform
2022-05-18T03:47:34.7864970Z [       OK ] PatternNetTransformTest.TestMultiInputOutputTransform (0 ms)
2022-05-18T03:47:34.7865607Z [----------] 9 tests from PatternNetTransformTest (4 ms total)
2022-05-18T03:47:34.7865837Z 
2022-05-18T03:47:34.7866025Z [----------] Global test environment tear-down
2022-05-18T03:47:34.7866414Z [==========] 9 tests from 1 test suite ran. (4 ms total)
2022-05-18T03:47:34.7866693Z [  PASSED  ] 9 tests.
2022-05-18T03:47:34.8269228Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:34.8269498Z + case "$test" in
2022-05-18T03:47:34.8271409Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/plan_executor_test
2022-05-18T03:47:34.8277345Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:34.8278001Z + /opt/conda/lib/python3.7/site-packages/torch/test/plan_executor_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/plan_executor_test.xml
2022-05-18T03:47:34.9997696Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:34.9998218Z [==========] Running 6 tests from 1 test suite.
2022-05-18T03:47:34.9998657Z [----------] Global test environment set-up.
2022-05-18T03:47:34.9999063Z [----------] 6 tests from PlanExecutorTest
2022-05-18T03:47:34.9999388Z [ RUN      ] PlanExecutorTest.EmptyPlan
2022-05-18T03:47:35.0000081Z [W plan_executor.cc:666] Nothing to run - did you define a correct plan?
2022-05-18T03:47:35.0000469Z [       OK ] PlanExecutorTest.EmptyPlan (0 ms)
2022-05-18T03:47:35.0000873Z [ RUN      ] PlanExecutorTest.ErrorAsyncPlan
2022-05-18T03:47:35.0001345Z [E init_intrinsics_check.cc:43] CPU feature avx is present on your machine, but the Caffe2 binary is not compiled with it. It means you may not get the full speed of your CPU.
2022-05-18T03:47:35.0001892Z [E init_intrinsics_check.cc:43] CPU feature avx2 is present on your machine, but the Caffe2 binary is not compiled with it. It means you may not get the full speed of your CPU.
2022-05-18T03:47:35.0002482Z [E init_intrinsics_check.cc:43] CPU feature fma is present on your machine, but the Caffe2 binary is not compiled with it. It means you may not get the full speed of your CPU.
2022-05-18T03:47:35.0218267Z [E net_async_base.cc:384] test error,  op Error
2022-05-18T03:47:35.0219100Z [E net_async_base.cc:135] Rethrowing exception from the run of 'error_net'
2022-05-18T03:47:35.0219493Z [E plan_executor.cc:368] Substep exception:
2022-05-18T03:47:35.0219977Z caffe2::TestError: test error
2022-05-18T03:47:35.0220312Z [E net_async_base.cc:135] Rethrowing exception from the run of 'stuck_net'
2022-05-18T03:47:35.0220602Z [E plan_executor.cc:626] One of the workers failed.
2022-05-18T03:47:35.0221928Z [       OK ] PlanExecutorTest.ErrorAsyncPlan (22 ms)
2022-05-18T03:47:35.0222344Z [ RUN      ] PlanExecutorTest.BlockingErrorPlan
2022-05-18T03:47:35.1958394Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:36.2239121Z [       OK ] PlanExecutorTest.BlockingErrorPlan (1201 ms)
2022-05-18T03:47:36.2239671Z [ RUN      ] PlanExecutorTest.ErrorPlanWithCancellableStuckNet
2022-05-18T03:47:36.2242189Z [E plan_executor.cc:368] Substep exception:
2022-05-18T03:47:36.2242480Z caffe2::TestError: test error
2022-05-18T03:47:36.2340869Z [E plan_executor.cc:626] One of the workers failed.
2022-05-18T03:47:36.2341451Z [       OK ] PlanExecutorTest.ErrorPlanWithCancellableStuckNet (10 ms)
2022-05-18T03:47:36.2341955Z [ RUN      ] PlanExecutorTest.ReporterErrorPlanWithCancellableStuckNet
2022-05-18T03:47:36.2352961Z [E plan_executor.cc:464] Reporter instance exception:
2022-05-18T03:47:36.2353380Z caffe2::TestError: test error
2022-05-18T03:47:36.2353814Z [E plan_executor.cc:368] Substep exception:
2022-05-18T03:47:36.2354047Z caffe2::TestError: test error
2022-05-18T03:47:36.2444384Z [E plan_executor.cc:626] One of the workers failed.
2022-05-18T03:47:36.2445199Z [       OK ] PlanExecutorTest.ReporterErrorPlanWithCancellableStuckNet (10 ms)
2022-05-18T03:47:36.2445692Z [ RUN      ] PlanExecutorTest.ShouldStopWithCancel
2022-05-18T03:47:36.2548424Z [E plan_executor.cc:368] Substep exception:
2022-05-18T03:47:36.2548909Z caffe2::TestError: test error
2022-05-18T03:47:36.2549193Z [E plan_executor.cc:626] One of the workers failed.
2022-05-18T03:47:36.2551741Z [       OK ] PlanExecutorTest.ShouldStopWithCancel (10 ms)
2022-05-18T03:47:36.2552469Z [----------] 6 tests from PlanExecutorTest (1255 ms total)
2022-05-18T03:47:36.2552676Z 
2022-05-18T03:47:36.2552854Z [----------] Global test environment tear-down
2022-05-18T03:47:36.2554226Z [==========] 6 tests from 1 test suite ran. (1255 ms total)
2022-05-18T03:47:36.2554696Z [  PASSED  ] 6 tests.
2022-05-18T03:47:36.3064501Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:36.3064940Z + case "$test" in
2022-05-18T03:47:36.3067218Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/pow_test
2022-05-18T03:47:36.3072939Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:36.3073700Z + /opt/conda/lib/python3.7/site-packages/torch/test/pow_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/pow_test.xml
2022-05-18T03:47:36.4780361Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:36.4781217Z [==========] Running 13 tests from 1 test suite.
2022-05-18T03:47:36.4781548Z [----------] Global test environment set-up.
2022-05-18T03:47:36.4781856Z [----------] 13 tests from PowTest
2022-05-18T03:47:36.4782182Z [ RUN      ] PowTest.IntTensorPowAllScalars
2022-05-18T03:47:36.5078586Z [       OK ] PowTest.IntTensorPowAllScalars (29 ms)
2022-05-18T03:47:36.5079042Z [ RUN      ] PowTest.LongTensorPowAllScalars
2022-05-18T03:47:36.5170896Z [       OK ] PowTest.LongTensorPowAllScalars (9 ms)
2022-05-18T03:47:36.5171470Z [ RUN      ] PowTest.FloatTensorPowAllScalars
2022-05-18T03:47:36.5293704Z [       OK ] PowTest.FloatTensorPowAllScalars (12 ms)
2022-05-18T03:47:36.5294284Z [ RUN      ] PowTest.DoubleTensorPowAllScalars
2022-05-18T03:47:36.5357605Z [       OK ] PowTest.DoubleTensorPowAllScalars (6 ms)
2022-05-18T03:47:36.5358183Z [ RUN      ] PowTest.IntScalarPowAllTensors
2022-05-18T03:47:36.5378332Z [       OK ] PowTest.IntScalarPowAllTensors (2 ms)
2022-05-18T03:47:36.5378765Z [ RUN      ] PowTest.LongScalarPowAllTensors
2022-05-18T03:47:36.5393735Z [       OK ] PowTest.LongScalarPowAllTensors (1 ms)
2022-05-18T03:47:36.5394365Z [ RUN      ] PowTest.FloatScalarPowAllTensors
2022-05-18T03:47:36.5405729Z [       OK ] PowTest.FloatScalarPowAllTensors (1 ms)
2022-05-18T03:47:36.5406326Z [ RUN      ] PowTest.DoubleScalarPowAllTensors
2022-05-18T03:47:36.5411672Z [       OK ] PowTest.DoubleScalarPowAllTensors (0 ms)
2022-05-18T03:47:36.5412266Z [ RUN      ] PowTest.IntTensorPowIntTensor
2022-05-18T03:47:36.5419160Z [       OK ] PowTest.IntTensorPowIntTensor (0 ms)
2022-05-18T03:47:36.5419753Z [ RUN      ] PowTest.LongTensorPowLongTensor
2022-05-18T03:47:36.5426585Z [       OK ] PowTest.LongTensorPowLongTensor (0 ms)
2022-05-18T03:47:36.5427192Z [ RUN      ] PowTest.FloatTensorPowFloatTensor
2022-05-18T03:47:36.5434045Z [       OK ] PowTest.FloatTensorPowFloatTensor (0 ms)
2022-05-18T03:47:36.5434640Z [ RUN      ] PowTest.DoubleTensorPowDoubleTensor
2022-05-18T03:47:36.5442258Z [       OK ] PowTest.DoubleTensorPowDoubleTensor (0 ms)
2022-05-18T03:47:36.5442873Z [ RUN      ] PowTest.TestIntegralPow
2022-05-18T03:47:36.5443409Z [       OK ] PowTest.TestIntegralPow (0 ms)
2022-05-18T03:47:36.5443750Z [----------] 13 tests from PowTest (66 ms total)
2022-05-18T03:47:36.5443906Z 
2022-05-18T03:47:36.5444080Z [----------] Global test environment tear-down
2022-05-18T03:47:36.5446828Z [==========] 13 tests from 1 test suite ran. (66 ms total)
2022-05-18T03:47:36.5447117Z [  PASSED  ] 13 tests.
2022-05-18T03:47:36.5866856Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:36.5867117Z + case "$test" in
2022-05-18T03:47:36.5869371Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/predictor_test
2022-05-18T03:47:36.5875343Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:36.5875921Z + /opt/conda/lib/python3.7/site-packages/torch/test/predictor_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/predictor_test.xml
2022-05-18T03:47:36.7590965Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:36.7591636Z [==========] Running 2 tests from 1 test suite.
2022-05-18T03:47:36.7591962Z [----------] Global test environment set-up.
2022-05-18T03:47:36.7592293Z [----------] 2 tests from PredictorTest
2022-05-18T03:47:36.7592605Z [ RUN      ] PredictorTest.SimpleBatchSized
2022-05-18T03:47:36.7598739Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:36.7601065Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:36.7609193Z [W predictor_config.cc:90] Caffe2 is compiled without optimization passes.
2022-05-18T03:47:36.7634411Z [       OK ] PredictorTest.SimpleBatchSized (4 ms)
2022-05-18T03:47:36.7634799Z [ RUN      ] PredictorTest.SimpleBatchSizedMapInput
2022-05-18T03:47:36.7644210Z [       OK ] PredictorTest.SimpleBatchSizedMapInput (0 ms)
2022-05-18T03:47:36.7644600Z [----------] 2 tests from PredictorTest (5 ms total)
2022-05-18T03:47:36.7644773Z 
2022-05-18T03:47:36.7644954Z [----------] Global test environment tear-down
2022-05-18T03:47:36.7646032Z [==========] 2 tests from 1 test suite ran. (5 ms total)
2022-05-18T03:47:36.7646304Z [  PASSED  ] 2 tests.
2022-05-18T03:47:36.8058610Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:36.8058891Z + case "$test" in
2022-05-18T03:47:36.8060627Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/proto_utils_test
2022-05-18T03:47:36.8067126Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:36.8067694Z + /opt/conda/lib/python3.7/site-packages/torch/test/proto_utils_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/proto_utils_test.xml
2022-05-18T03:47:36.9788085Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:36.9788703Z [==========] Running 3 tests from 1 test suite.
2022-05-18T03:47:36.9789210Z [----------] Global test environment set-up.
2022-05-18T03:47:36.9789726Z [----------] 3 tests from ProtoUtilsTest
2022-05-18T03:47:36.9790142Z [ RUN      ] ProtoUtilsTest.IsSameDevice
2022-05-18T03:47:36.9790556Z [       OK ] ProtoUtilsTest.IsSameDevice (0 ms)
2022-05-18T03:47:36.9790881Z [ RUN      ] ProtoUtilsTest.SimpleReadWrite
2022-05-18T03:47:36.9791256Z [       OK ] ProtoUtilsTest.SimpleReadWrite (0 ms)
2022-05-18T03:47:36.9791716Z [ RUN      ] ProtoUtilsTest.CleanupExternalInputsAndOutputs
2022-05-18T03:47:36.9792353Z [       OK ] ProtoUtilsTest.CleanupExternalInputsAndOutputs (0 ms)
2022-05-18T03:47:36.9792757Z [----------] 3 tests from ProtoUtilsTest (0 ms total)
2022-05-18T03:47:36.9792921Z 
2022-05-18T03:47:36.9793095Z [----------] Global test environment tear-down
2022-05-18T03:47:36.9793422Z [==========] 3 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:47:36.9793674Z [  PASSED  ] 3 tests.
2022-05-18T03:47:37.0179510Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:37.0179760Z + case "$test" in
2022-05-18T03:47:37.0181739Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/quantized_test
2022-05-18T03:47:37.0187997Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:37.0188605Z + /opt/conda/lib/python3.7/site-packages/torch/test/quantized_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/quantized_test.xml
2022-05-18T03:47:37.1902643Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:37.1903282Z [==========] Running 9 tests from 1 test suite.
2022-05-18T03:47:37.1903607Z [----------] Global test environment set-up.
2022-05-18T03:47:37.1903925Z [----------] 9 tests from TestQTensor
2022-05-18T03:47:37.1904241Z [ RUN      ] TestQTensor.QuantDequantAPIs
2022-05-18T03:47:37.1929186Z [       OK ] TestQTensor.QuantDequantAPIs (2 ms)
2022-05-18T03:47:37.1929797Z [ RUN      ] TestQTensor.RoundingMode
2022-05-18T03:47:37.1930276Z [       OK ] TestQTensor.RoundingMode (0 ms)
2022-05-18T03:47:37.1930762Z [ RUN      ] TestQTensor.Item
2022-05-18T03:47:37.1931158Z [       OK ] TestQTensor.Item (0 ms)
2022-05-18T03:47:37.1931587Z [ RUN      ] TestQTensor.EmptyQuantized
2022-05-18T03:47:37.1932301Z [       OK ] TestQTensor.EmptyQuantized (0 ms)
2022-05-18T03:47:37.1932814Z [ RUN      ] TestQTensor.EmptyPerchannelQuantized
2022-05-18T03:47:37.1933361Z [       OK ] TestQTensor.EmptyPerchannelQuantized (0 ms)
2022-05-18T03:47:37.1933878Z [ RUN      ] TestQTensor.QuantizePerChannel4d
2022-05-18T03:47:37.1934706Z [       OK ] TestQTensor.QuantizePerChannel4d (0 ms)
2022-05-18T03:47:37.1935266Z [ RUN      ] TestQTensor.QuantizePerChannel4dChannelsLast
2022-05-18T03:47:37.2009737Z [       OK ] TestQTensor.QuantizePerChannel4dChannelsLast (7 ms)
2022-05-18T03:47:37.2010311Z [ RUN      ] TestQTensor.FromBlobQuantizedPerTensor
2022-05-18T03:47:37.2010883Z [       OK ] TestQTensor.FromBlobQuantizedPerTensor (0 ms)
2022-05-18T03:47:37.2011441Z [ RUN      ] TestQTensor.FromBlobQuantizedPerChannel
2022-05-18T03:47:37.2016331Z [       OK ] TestQTensor.FromBlobQuantizedPerChannel (0 ms)
2022-05-18T03:47:37.2016917Z [----------] 9 tests from TestQTensor (11 ms total)
2022-05-18T03:47:37.2017359Z 
2022-05-18T03:47:37.2017621Z [----------] Global test environment tear-down
2022-05-18T03:47:37.2018622Z [==========] 9 tests from 1 test suite ran. (11 ms total)
2022-05-18T03:47:37.2019006Z [  PASSED  ] 9 tests.
2022-05-18T03:47:37.2439980Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:37.2440247Z + case "$test" in
2022-05-18T03:47:37.2442301Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/reduce_ops_test
2022-05-18T03:47:37.2447907Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:37.2448564Z + /opt/conda/lib/python3.7/site-packages/torch/test/reduce_ops_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/reduce_ops_test.xml
2022-05-18T03:47:37.4159432Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:37.4160208Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:47:37.4160722Z [----------] Global test environment set-up.
2022-05-18T03:47:37.4161053Z [----------] 1 test from ReduceOpsTest
2022-05-18T03:47:37.4161389Z [ RUN      ] ReduceOpsTest.MaxValuesAndMinValues
2022-05-18T03:47:37.4161928Z [       OK ] ReduceOpsTest.MaxValuesAndMinValues (0 ms)
2022-05-18T03:47:37.4162559Z [----------] 1 test from ReduceOpsTest (0 ms total)
2022-05-18T03:47:37.4162720Z 
2022-05-18T03:47:37.4162896Z [----------] Global test environment tear-down
2022-05-18T03:47:37.4163378Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-05-18T03:47:37.4163632Z [  PASSED  ] 1 test.
2022-05-18T03:47:37.4571635Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:37.4571897Z + case "$test" in
2022-05-18T03:47:37.4574168Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/reportMemoryUsage_test
2022-05-18T03:47:37.4579013Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:37.4579977Z + /opt/conda/lib/python3.7/site-packages/torch/test/reportMemoryUsage_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/reportMemoryUsage_test.xml
2022-05-18T03:47:37.6298523Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:37.6299267Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:47:37.6299775Z [----------] Global test environment set-up.
2022-05-18T03:47:37.6300304Z [----------] 1 test from DefaultCPUAllocator
2022-05-18T03:47:37.6300862Z [ RUN      ] DefaultCPUAllocator.check_reporter
2022-05-18T03:47:37.6301422Z [       OK ] DefaultCPUAllocator.check_reporter (0 ms)
2022-05-18T03:47:37.6302000Z [----------] 1 test from DefaultCPUAllocator (0 ms total)
2022-05-18T03:47:37.6302505Z 
2022-05-18T03:47:37.6302762Z [----------] Global test environment tear-down
2022-05-18T03:47:37.6303180Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-05-18T03:47:37.6303524Z [  PASSED  ] 1 test.
2022-05-18T03:47:37.6728223Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:37.6728609Z + case "$test" in
2022-05-18T03:47:37.6728926Z + [[ linux-xenial-py3.7-clang7-onnx == *rocm* ]]
2022-05-18T03:47:37.6729295Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:37.6729675Z + /opt/conda/lib/python3.7/site-packages/torch/test/scalar_tensor_test
2022-05-18T03:47:37.8440775Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:37.8441658Z [==========] Running 3 tests from 1 test suite.
2022-05-18T03:47:37.8442113Z [----------] Global test environment set-up.
2022-05-18T03:47:37.8442428Z [----------] 3 tests from TestScalarTensor
2022-05-18T03:47:37.8442800Z [ RUN      ] TestScalarTensor.TestScalarTensorCPU
2022-05-18T03:47:38.0299811Z [       OK ] TestScalarTensor.TestScalarTensorCPU (185 ms)
2022-05-18T03:47:38.0300498Z [ RUN      ] TestScalarTensor.TestScalarTensorCUDA
2022-05-18T03:47:38.0301057Z [       OK ] TestScalarTensor.TestScalarTensorCUDA (0 ms)
2022-05-18T03:47:38.0301597Z [ RUN      ] TestScalarTensor.TestScalarTensorMPS
2022-05-18T03:47:38.0302100Z [       OK ] TestScalarTensor.TestScalarTensorMPS (0 ms)
2022-05-18T03:47:38.0302594Z [----------] 3 tests from TestScalarTensor (185 ms total)
2022-05-18T03:47:38.0302819Z 
2022-05-18T03:47:38.0303064Z [----------] Global test environment tear-down
2022-05-18T03:47:38.0303524Z [==========] 3 tests from 1 test suite ran. (185 ms total)
2022-05-18T03:47:38.0303887Z [  PASSED  ] 3 tests.
2022-05-18T03:47:38.0709153Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:38.0709447Z + case "$test" in
2022-05-18T03:47:38.0711684Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/scalar_test
2022-05-18T03:47:38.0717401Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:38.0717985Z + /opt/conda/lib/python3.7/site-packages/torch/test/scalar_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/scalar_test.xml
2022-05-18T03:47:38.2428182Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:38.2428891Z [==========] Running 4 tests from 1 test suite.
2022-05-18T03:47:38.2429218Z [----------] Global test environment set-up.
2022-05-18T03:47:38.2429601Z [----------] 4 tests from TestScalar
2022-05-18T03:47:38.2429895Z [ RUN      ] TestScalar.TestScalar
2022-05-18T03:47:38.2430153Z H2: 3 257 3 1
2022-05-18T03:47:38.2491054Z [       OK ] TestScalar.TestScalar (6 ms)
2022-05-18T03:47:38.2491613Z [ RUN      ] TestScalar.TestConj
2022-05-18T03:47:38.2492142Z [       OK ] TestScalar.TestConj (0 ms)
2022-05-18T03:47:38.2492692Z [ RUN      ] TestScalar.TestEqual
2022-05-18T03:47:38.2493190Z [       OK ] TestScalar.TestEqual (0 ms)
2022-05-18T03:47:38.2493636Z [ RUN      ] TestScalar.TestFormatting
2022-05-18T03:47:38.2494105Z [       OK ] TestScalar.TestFormatting (0 ms)
2022-05-18T03:47:38.2494717Z [----------] 4 tests from TestScalar (6 ms total)
2022-05-18T03:47:38.2494946Z 
2022-05-18T03:47:38.2495123Z [----------] Global test environment tear-down
2022-05-18T03:47:38.2495459Z [==========] 4 tests from 1 test suite ran. (6 ms total)
2022-05-18T03:47:38.2495733Z [  PASSED  ] 4 tests.
2022-05-18T03:47:38.2905637Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:38.2905908Z + case "$test" in
2022-05-18T03:47:38.2908180Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/serialization_test
2022-05-18T03:47:38.2913577Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:38.2914213Z + /opt/conda/lib/python3.7/site-packages/torch/test/serialization_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/serialization_test.xml
2022-05-18T03:47:38.4623837Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:38.4624358Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:47:38.4624827Z [----------] Global test environment set-up.
2022-05-18T03:47:38.4625217Z [----------] 1 test from TensorSerialization
2022-05-18T03:47:38.4625760Z [ RUN      ] TensorSerialization.TestUnknownDType
2022-05-18T03:47:38.4626701Z [       OK ] TensorSerialization.TestUnknownDType (0 ms)
2022-05-18T03:47:38.4627210Z [----------] 1 test from TensorSerialization (0 ms total)
2022-05-18T03:47:38.4627458Z 
2022-05-18T03:47:38.4627646Z [----------] Global test environment tear-down
2022-05-18T03:47:38.4628535Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-05-18T03:47:38.4628810Z [  PASSED  ] 1 test.
2022-05-18T03:47:38.5015295Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:38.5015532Z + case "$test" in
2022-05-18T03:47:38.5017747Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/simple_queue_test
2022-05-18T03:47:38.5023283Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:38.5023831Z + /opt/conda/lib/python3.7/site-packages/torch/test/simple_queue_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/simple_queue_test.xml
2022-05-18T03:47:38.6725198Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:38.6725928Z [==========] Running 4 tests from 2 test suites.
2022-05-18T03:47:38.6726261Z [----------] Global test environment set-up.
2022-05-18T03:47:38.6726650Z [----------] 1 test from SimpleQueueDeathTest
2022-05-18T03:47:38.6727090Z [ RUN      ] SimpleQueueDeathTest.CannotAddAfterQueueFinished
2022-05-18T03:47:38.6727860Z [       OK ] SimpleQueueDeathTest.CannotAddAfterQueueFinished (0 ms)
2022-05-18T03:47:38.6728620Z [----------] 1 test from SimpleQueueDeathTest (0 ms total)
2022-05-18T03:47:38.6728807Z 
2022-05-18T03:47:38.6729044Z [----------] 3 tests from SimpleQueueTest
2022-05-18T03:47:38.6729629Z [ RUN      ] SimpleQueueTest.SingleProducerSingleConsumer
2022-05-18T03:47:38.6730245Z [       OK ] SimpleQueueTest.SingleProducerSingleConsumer (0 ms)
2022-05-18T03:47:38.6730765Z [ RUN      ] SimpleQueueTest.SingleProducerDoubleConsumer
2022-05-18T03:47:38.6731523Z [       OK ] SimpleQueueTest.SingleProducerDoubleConsumer (0 ms)
2022-05-18T03:47:38.6731949Z [ RUN      ] SimpleQueueTest.DoubleProducerDoubleConsumer
2022-05-18T03:47:38.6735375Z [       OK ] SimpleQueueTest.DoubleProducerDoubleConsumer (0 ms)
2022-05-18T03:47:38.6735794Z [----------] 3 tests from SimpleQueueTest (0 ms total)
2022-05-18T03:47:38.6736024Z 
2022-05-18T03:47:38.6736209Z [----------] Global test environment tear-down
2022-05-18T03:47:38.6738259Z [==========] 4 tests from 2 test suites ran. (1 ms total)
2022-05-18T03:47:38.6738582Z [  PASSED  ] 4 tests.
2022-05-18T03:47:38.7160656Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:38.7160898Z + case "$test" in
2022-05-18T03:47:38.7163533Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/smart_tensor_printer_test
2022-05-18T03:47:38.7168835Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:38.7169404Z + /opt/conda/lib/python3.7/site-packages/torch/test/smart_tensor_printer_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/smart_tensor_printer_test.xml
2022-05-18T03:47:38.8885636Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:38.8886366Z [==========] Running 0 tests from 0 test suites.
2022-05-18T03:47:38.8886797Z [==========] 0 tests from 0 test suites ran. (0 ms total)
2022-05-18T03:47:38.8887070Z [  PASSED  ] 0 tests.
2022-05-18T03:47:38.9274196Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:38.9274425Z + case "$test" in
2022-05-18T03:47:38.9276547Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/split_slss_test
2022-05-18T03:47:38.9282011Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:38.9282530Z + /opt/conda/lib/python3.7/site-packages/torch/test/split_slss_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/split_slss_test.xml
2022-05-18T03:47:39.0997715Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:39.0998444Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:47:39.0999141Z [----------] Global test environment set-up.
2022-05-18T03:47:39.0999784Z [----------] 1 test from splitSparseLengthsSumSparse
2022-05-18T03:47:39.1000401Z [ RUN      ] splitSparseLengthsSumSparse.sweep
2022-05-18T03:47:39.1000951Z [       OK ] splitSparseLengthsSumSparse.sweep (0 ms)
2022-05-18T03:47:39.1001591Z [----------] 1 test from splitSparseLengthsSumSparse (0 ms total)
2022-05-18T03:47:39.1001905Z 
2022-05-18T03:47:39.1002197Z [----------] Global test environment tear-down
2022-05-18T03:47:39.1002736Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-05-18T03:47:39.1003405Z [  PASSED  ] 1 test.
2022-05-18T03:47:39.1414126Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:39.1414398Z + case "$test" in
2022-05-18T03:47:39.1416642Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/ssa_test
2022-05-18T03:47:39.1422329Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:39.1422895Z + /opt/conda/lib/python3.7/site-packages/torch/test/ssa_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/ssa_test.xml
2022-05-18T03:47:39.3185041Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:39.3185636Z [==========] Running 2 tests from 1 test suite.
2022-05-18T03:47:39.3185961Z [----------] Global test environment set-up.
2022-05-18T03:47:39.3186258Z [----------] 2 tests from SsaTest
2022-05-18T03:47:39.3186648Z [ RUN      ] SsaTest.ConvReluInplace
2022-05-18T03:47:39.3187030Z [       OK ] SsaTest.ConvReluInplace (0 ms)
2022-05-18T03:47:39.3187469Z [ RUN      ] SsaTest.FC_Relu_FC_InPlace_Output
2022-05-18T03:47:39.3187792Z [       OK ] SsaTest.FC_Relu_FC_InPlace_Output (0 ms)
2022-05-18T03:47:39.3188186Z [----------] 2 tests from SsaTest (0 ms total)
2022-05-18T03:47:39.3188342Z 
2022-05-18T03:47:39.3188519Z [----------] Global test environment tear-down
2022-05-18T03:47:39.3188926Z [==========] 2 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:47:39.3189184Z [  PASSED  ] 2 tests.
2022-05-18T03:47:39.3593905Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:39.3594144Z + case "$test" in
2022-05-18T03:47:39.3596193Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/stats_test
2022-05-18T03:47:39.3601531Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:39.3602176Z + /opt/conda/lib/python3.7/site-packages/torch/test/stats_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/stats_test.xml
2022-05-18T03:47:39.5315493Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:39.5317037Z [==========] Running 4 tests from 1 test suite.
2022-05-18T03:47:39.5317589Z [----------] Global test environment set-up.
2022-05-18T03:47:39.5318067Z [----------] 4 tests from StatsTest
2022-05-18T03:47:39.5318367Z [ RUN      ] StatsTest.StatsTestClass
2022-05-18T03:47:39.5318688Z [       OK ] StatsTest.StatsTestClass (0 ms)
2022-05-18T03:47:39.5319142Z [ RUN      ] StatsTest.StatsTestDuration
2022-05-18T03:47:39.5319475Z [       OK ] StatsTest.StatsTestDuration (0 ms)
2022-05-18T03:47:39.5319796Z [ RUN      ] StatsTest.StatsTestSimple
2022-05-18T03:47:39.5320102Z [       OK ] StatsTest.StatsTestSimple (0 ms)
2022-05-18T03:47:39.5320413Z [ RUN      ] StatsTest.StatsTestStatic
2022-05-18T03:47:39.5320727Z [       OK ] StatsTest.StatsTestStatic (0 ms)
2022-05-18T03:47:39.5321037Z [----------] 4 tests from StatsTest (0 ms total)
2022-05-18T03:47:39.5321192Z 
2022-05-18T03:47:39.5321372Z [----------] Global test environment tear-down
2022-05-18T03:47:39.5322185Z [==========] 4 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:47:39.5322684Z [  PASSED  ] 4 tests.
2022-05-18T03:47:39.5723289Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:39.5723573Z + case "$test" in
2022-05-18T03:47:39.5725382Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/stride_properties_test
2022-05-18T03:47:39.5730601Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:39.5731415Z + /opt/conda/lib/python3.7/site-packages/torch/test/stride_properties_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/stride_properties_test.xml
2022-05-18T03:47:39.7447893Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:39.7448717Z [==========] Running 4 tests from 1 test suite.
2022-05-18T03:47:39.7449027Z [----------] Global test environment set-up.
2022-05-18T03:47:39.7449384Z [----------] 4 tests from StridePropertiesTest
2022-05-18T03:47:39.7449753Z [ RUN      ] StridePropertiesTest.StrideIndicesTest
2022-05-18T03:47:39.7648821Z [       OK ] StridePropertiesTest.StrideIndicesTest (20 ms)
2022-05-18T03:47:39.7649595Z [ RUN      ] StridePropertiesTest.ZeroStrideIndicesEagerConsistencyTest
2022-05-18T03:47:39.7650400Z [       OK ] StridePropertiesTest.ZeroStrideIndicesEagerConsistencyTest (0 ms)
2022-05-18T03:47:39.7651263Z [ RUN      ] StridePropertiesTest.ExpandedStrideIndicesTest
2022-05-18T03:47:39.7651716Z [       OK ] StridePropertiesTest.ExpandedStrideIndicesTest (0 ms)
2022-05-18T03:47:39.7652157Z [ RUN      ] StridePropertiesTest.SlicedStrideIndicesTest
2022-05-18T03:47:39.7652591Z [       OK ] StridePropertiesTest.SlicedStrideIndicesTest (0 ms)
2022-05-18T03:47:39.7652994Z [----------] 4 tests from StridePropertiesTest (20 ms total)
2022-05-18T03:47:39.7653219Z 
2022-05-18T03:47:39.7653536Z [----------] Global test environment tear-down
2022-05-18T03:47:39.7654094Z [==========] 4 tests from 1 test suite ran. (20 ms total)
2022-05-18T03:47:39.7654367Z [  PASSED  ] 4 tests.
2022-05-18T03:47:39.8069176Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:39.8069611Z + case "$test" in
2022-05-18T03:47:39.8071823Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/string_ops_test
2022-05-18T03:47:39.8077340Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:39.8078023Z + /opt/conda/lib/python3.7/site-packages/torch/test/string_ops_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/string_ops_test.xml
2022-05-18T03:47:39.9778219Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:39.9778901Z [==========] Running 5 tests from 1 test suite.
2022-05-18T03:47:39.9779526Z [----------] Global test environment set-up.
2022-05-18T03:47:39.9779928Z [----------] 5 tests from StringJoinOpTest
2022-05-18T03:47:39.9780461Z [ RUN      ] StringJoinOpTest.testString1DJoin
2022-05-18T03:47:39.9780926Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:39.9781534Z [       OK ] StringJoinOpTest.testString1DJoin (0 ms)
2022-05-18T03:47:39.9782151Z [ RUN      ] StringJoinOpTest.testString2DJoin
2022-05-18T03:47:39.9782776Z [       OK ] StringJoinOpTest.testString2DJoin (0 ms)
2022-05-18T03:47:39.9783325Z [ RUN      ] StringJoinOpTest.testFloat1DJoin
2022-05-18T03:47:39.9783684Z [       OK ] StringJoinOpTest.testFloat1DJoin (0 ms)
2022-05-18T03:47:39.9784034Z [ RUN      ] StringJoinOpTest.testFloat2DJoin
2022-05-18T03:47:39.9784397Z [       OK ] StringJoinOpTest.testFloat2DJoin (0 ms)
2022-05-18T03:47:39.9784934Z [ RUN      ] StringJoinOpTest.testLong2DJoin
2022-05-18T03:47:39.9785432Z [       OK ] StringJoinOpTest.testLong2DJoin (0 ms)
2022-05-18T03:47:39.9786022Z [----------] 5 tests from StringJoinOpTest (0 ms total)
2022-05-18T03:47:39.9786196Z 
2022-05-18T03:47:39.9786362Z [----------] Global test environment tear-down
2022-05-18T03:47:39.9786692Z [==========] 5 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:47:39.9786963Z [  PASSED  ] 5 tests.
2022-05-18T03:47:40.0175639Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:40.0175876Z + case "$test" in
2022-05-18T03:47:40.0178108Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/tensor_interop_test
2022-05-18T03:47:40.0184565Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:40.0185224Z + /opt/conda/lib/python3.7/site-packages/torch/test/tensor_interop_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/tensor_interop_test.xml
2022-05-18T03:47:40.1903646Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:40.1904496Z [==========] Running 16 tests from 2 test suites.
2022-05-18T03:47:40.1904960Z [----------] Global test environment set-up.
2022-05-18T03:47:40.1905279Z [----------] 8 tests from Caffe2ToPytorch
2022-05-18T03:47:40.1905598Z [ RUN      ] Caffe2ToPytorch.SimpleLegacy
2022-05-18T03:47:40.1905943Z [       OK ] Caffe2ToPytorch.SimpleLegacy (0 ms)
2022-05-18T03:47:40.1906259Z [ RUN      ] Caffe2ToPytorch.Simple
2022-05-18T03:47:40.1906557Z [       OK ] Caffe2ToPytorch.Simple (0 ms)
2022-05-18T03:47:40.1906879Z [ RUN      ] Caffe2ToPytorch.ExternalData
2022-05-18T03:47:40.1935001Z [       OK ] Caffe2ToPytorch.ExternalData (3 ms)
2022-05-18T03:47:40.1935363Z [ RUN      ] Caffe2ToPytorch.Op
2022-05-18T03:47:40.1939058Z [       OK ] Caffe2ToPytorch.Op (0 ms)
2022-05-18T03:47:40.1939449Z [ RUN      ] Caffe2ToPytorch.PartiallyInitialized
2022-05-18T03:47:40.1986737Z [       OK ] Caffe2ToPytorch.PartiallyInitialized (4 ms)
2022-05-18T03:47:40.1987248Z [ RUN      ] Caffe2ToPytorch.MutualResizes
2022-05-18T03:47:40.1987594Z [       OK ] Caffe2ToPytorch.MutualResizes (0 ms)
2022-05-18T03:47:40.1987917Z [ RUN      ] Caffe2ToPytorch.NonPOD
2022-05-18T03:47:40.2003289Z [       OK ] Caffe2ToPytorch.NonPOD (1 ms)
2022-05-18T03:47:40.2003659Z [ RUN      ] Caffe2ToPytorch.Nullptr
2022-05-18T03:47:40.2004159Z [       OK ] Caffe2ToPytorch.Nullptr (0 ms)
2022-05-18T03:47:40.2004600Z [----------] 8 tests from Caffe2ToPytorch (10 ms total)
2022-05-18T03:47:40.2004770Z 
2022-05-18T03:47:40.2004923Z [----------] 8 tests from PytorchToCaffe2
2022-05-18T03:47:40.2005214Z [ RUN      ] PytorchToCaffe2.Op
2022-05-18T03:47:40.2005501Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:40.2006875Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:40.2027173Z [       OK ] PytorchToCaffe2.Op (2 ms)
2022-05-18T03:47:40.2027640Z [ RUN      ] PytorchToCaffe2.SharedStorageRead
2022-05-18T03:47:40.2028720Z [       OK ] PytorchToCaffe2.SharedStorageRead (0 ms)
2022-05-18T03:47:40.2029198Z [ RUN      ] PytorchToCaffe2.SharedStorageWrite
2022-05-18T03:47:40.2029614Z [       OK ] PytorchToCaffe2.SharedStorageWrite (0 ms)
2022-05-18T03:47:40.2029965Z [ RUN      ] PytorchToCaffe2.MutualResizes
2022-05-18T03:47:40.2030304Z [       OK ] PytorchToCaffe2.MutualResizes (0 ms)
2022-05-18T03:47:40.2030611Z [ RUN      ] PytorchToCaffe2.Strided
2022-05-18T03:47:40.2041413Z [       OK ] PytorchToCaffe2.Strided (1 ms)
2022-05-18T03:47:40.2041806Z [ RUN      ] PytorchToCaffe2.InplaceStrided
2022-05-18T03:47:40.2042168Z [       OK ] PytorchToCaffe2.InplaceStrided (0 ms)
2022-05-18T03:47:40.2042643Z [ RUN      ] PytorchToCaffe2.NonRegularTensor
2022-05-18T03:47:40.2053978Z [       OK ] PytorchToCaffe2.NonRegularTensor (1 ms)
2022-05-18T03:47:40.2054587Z [ RUN      ] PytorchToCaffe2.Nullptr
2022-05-18T03:47:40.2055042Z [       OK ] PytorchToCaffe2.Nullptr (0 ms)
2022-05-18T03:47:40.2055393Z [----------] 8 tests from PytorchToCaffe2 (5 ms total)
2022-05-18T03:47:40.2055564Z 
2022-05-18T03:47:40.2055741Z [----------] Global test environment tear-down
2022-05-18T03:47:40.2058503Z [==========] 16 tests from 2 test suites ran. (15 ms total)
2022-05-18T03:47:40.2058841Z [  PASSED  ] 16 tests.
2022-05-18T03:47:40.2461965Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:40.2462214Z + case "$test" in
2022-05-18T03:47:40.2464533Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/tensor_iterator_test
2022-05-18T03:47:40.2470069Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:40.2470632Z + /opt/conda/lib/python3.7/site-packages/torch/test/tensor_iterator_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/tensor_iterator_test.xml
2022-05-18T03:47:40.4181601Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:40.4182452Z [==========] Running 65 tests from 1 test suite.
2022-05-18T03:47:40.4183033Z [----------] Global test environment set-up.
2022-05-18T03:47:40.4183631Z [----------] 65 tests from TensorIteratorTest
2022-05-18T03:47:40.4184120Z [ RUN      ] TensorIteratorTest.CPUScalar
2022-05-18T03:47:40.4184717Z [       OK ] TensorIteratorTest.CPUScalar (0 ms)
2022-05-18T03:47:40.4185301Z [ RUN      ] TensorIteratorTest.CPUScalarInputs
2022-05-18T03:47:40.4185861Z [       OK ] TensorIteratorTest.CPUScalarInputs (0 ms)
2022-05-18T03:47:40.4186540Z [ RUN      ] TensorIteratorTest.MixedDevices
2022-05-18T03:47:40.4187155Z [       OK ] TensorIteratorTest.MixedDevices (0 ms)
2022-05-18T03:47:40.4187819Z [ RUN      ] TensorIteratorTest.SerialLoopUnary_Byte
2022-05-18T03:47:40.4207935Z [       OK ] TensorIteratorTest.SerialLoopUnary_Byte (2 ms)
2022-05-18T03:47:40.4208690Z [ RUN      ] TensorIteratorTest.SerialLoopUnary_Char
2022-05-18T03:47:40.4224752Z [       OK ] TensorIteratorTest.SerialLoopUnary_Char (1 ms)
2022-05-18T03:47:40.4225505Z [ RUN      ] TensorIteratorTest.SerialLoopUnary_Short
2022-05-18T03:47:40.4242019Z [       OK ] TensorIteratorTest.SerialLoopUnary_Short (1 ms)
2022-05-18T03:47:40.4242775Z [ RUN      ] TensorIteratorTest.SerialLoopUnary_Int
2022-05-18T03:47:40.4258897Z [       OK ] TensorIteratorTest.SerialLoopUnary_Int (1 ms)
2022-05-18T03:47:40.4259623Z [ RUN      ] TensorIteratorTest.SerialLoopUnary_Long
2022-05-18T03:47:40.4275718Z [       OK ] TensorIteratorTest.SerialLoopUnary_Long (1 ms)
2022-05-18T03:47:40.4276481Z [ RUN      ] TensorIteratorTest.SerialLoopUnary_Float
2022-05-18T03:47:40.4293387Z [       OK ] TensorIteratorTest.SerialLoopUnary_Float (1 ms)
2022-05-18T03:47:40.4294133Z [ RUN      ] TensorIteratorTest.SerialLoopUnary_Double
2022-05-18T03:47:40.4310403Z [       OK ] TensorIteratorTest.SerialLoopUnary_Double (1 ms)
2022-05-18T03:47:40.4311159Z [ RUN      ] TensorIteratorTest.SerialLoopBinary_Byte
2022-05-18T03:47:40.4327837Z [       OK ] TensorIteratorTest.SerialLoopBinary_Byte (1 ms)
2022-05-18T03:47:40.4328585Z [ RUN      ] TensorIteratorTest.SerialLoopBinary_Char
2022-05-18T03:47:40.4344343Z [       OK ] TensorIteratorTest.SerialLoopBinary_Char (1 ms)
2022-05-18T03:47:40.4345183Z [ RUN      ] TensorIteratorTest.SerialLoopBinary_Short
2022-05-18T03:47:40.4360943Z [       OK ] TensorIteratorTest.SerialLoopBinary_Short (1 ms)
2022-05-18T03:47:40.4361677Z [ RUN      ] TensorIteratorTest.SerialLoopBinary_Int
2022-05-18T03:47:40.4377934Z [       OK ] TensorIteratorTest.SerialLoopBinary_Int (1 ms)
2022-05-18T03:47:40.4378693Z [ RUN      ] TensorIteratorTest.SerialLoopBinary_Long
2022-05-18T03:47:40.4394607Z [       OK ] TensorIteratorTest.SerialLoopBinary_Long (1 ms)
2022-05-18T03:47:40.4395389Z [ RUN      ] TensorIteratorTest.SerialLoopBinary_Float
2022-05-18T03:47:40.4411918Z [       OK ] TensorIteratorTest.SerialLoopBinary_Float (1 ms)
2022-05-18T03:47:40.4412684Z [ RUN      ] TensorIteratorTest.SerialLoopBinary_Double
2022-05-18T03:47:40.4428703Z [       OK ] TensorIteratorTest.SerialLoopBinary_Double (1 ms)
2022-05-18T03:47:40.4445154Z [ RUN      ] TensorIteratorTest.SerialLoopPointwise_Byte
2022-05-18T03:47:40.4445949Z [       OK ] TensorIteratorTest.SerialLoopPointwise_Byte (1 ms)
2022-05-18T03:47:40.4446735Z [ RUN      ] TensorIteratorTest.SerialLoopPointwise_Char
2022-05-18T03:47:40.4462523Z [       OK ] TensorIteratorTest.SerialLoopPointwise_Char (1 ms)
2022-05-18T03:47:40.4463327Z [ RUN      ] TensorIteratorTest.SerialLoopPointwise_Short
2022-05-18T03:47:40.4479178Z [       OK ] TensorIteratorTest.SerialLoopPointwise_Short (1 ms)
2022-05-18T03:47:40.4479977Z [ RUN      ] TensorIteratorTest.SerialLoopPointwise_Int
2022-05-18T03:47:40.4496213Z [       OK ] TensorIteratorTest.SerialLoopPointwise_Int (1 ms)
2022-05-18T03:47:40.4497015Z [ RUN      ] TensorIteratorTest.SerialLoopPointwise_Long
2022-05-18T03:47:40.4512830Z [       OK ] TensorIteratorTest.SerialLoopPointwise_Long (1 ms)
2022-05-18T03:47:40.4513631Z [ RUN      ] TensorIteratorTest.SerialLoopPointwise_Float
2022-05-18T03:47:40.4529734Z [       OK ] TensorIteratorTest.SerialLoopPointwise_Float (1 ms)
2022-05-18T03:47:40.4546473Z [ RUN      ] TensorIteratorTest.SerialLoopPointwise_Double
2022-05-18T03:47:40.4547217Z [       OK ] TensorIteratorTest.SerialLoopPointwise_Double (1 ms)
2022-05-18T03:47:40.4547986Z [ RUN      ] TensorIteratorTest.SerialLoopUnaryNoOutput_Byte
2022-05-18T03:47:40.4548770Z [       OK ] TensorIteratorTest.SerialLoopUnaryNoOutput_Byte (0 ms)
2022-05-18T03:47:40.4549535Z [ RUN      ] TensorIteratorTest.SerialLoopUnaryNoOutput_Char
2022-05-18T03:47:40.4550278Z [       OK ] TensorIteratorTest.SerialLoopUnaryNoOutput_Char (0 ms)
2022-05-18T03:47:40.4551015Z [ RUN      ] TensorIteratorTest.SerialLoopUnaryNoOutput_Short
2022-05-18T03:47:40.4551804Z [       OK ] TensorIteratorTest.SerialLoopUnaryNoOutput_Short (0 ms)
2022-05-18T03:47:40.4552522Z [ RUN      ] TensorIteratorTest.SerialLoopUnaryNoOutput_Int
2022-05-18T03:47:40.4553225Z [       OK ] TensorIteratorTest.SerialLoopUnaryNoOutput_Int (0 ms)
2022-05-18T03:47:40.4554155Z [ RUN      ] TensorIteratorTest.SerialLoopUnaryNoOutput_Long
2022-05-18T03:47:40.4554789Z [       OK ] TensorIteratorTest.SerialLoopUnaryNoOutput_Long (0 ms)
2022-05-18T03:47:40.4555263Z [ RUN      ] TensorIteratorTest.SerialLoopUnaryNoOutput_Float
2022-05-18T03:47:40.4555703Z [       OK ] TensorIteratorTest.SerialLoopUnaryNoOutput_Float (0 ms)
2022-05-18T03:47:40.4556195Z [ RUN      ] TensorIteratorTest.SerialLoopUnaryNoOutput_Double
2022-05-18T03:47:40.4556635Z [       OK ] TensorIteratorTest.SerialLoopUnaryNoOutput_Double (0 ms)
2022-05-18T03:47:40.4557074Z [ RUN      ] TensorIteratorTest.SerialLoopBinaryNoOutput_Byte
2022-05-18T03:47:40.4557503Z [       OK ] TensorIteratorTest.SerialLoopBinaryNoOutput_Byte (0 ms)
2022-05-18T03:47:40.4557942Z [ RUN      ] TensorIteratorTest.SerialLoopBinaryNoOutput_Char
2022-05-18T03:47:40.4558384Z [       OK ] TensorIteratorTest.SerialLoopBinaryNoOutput_Char (0 ms)
2022-05-18T03:47:40.4558829Z [ RUN      ] TensorIteratorTest.SerialLoopBinaryNoOutput_Short
2022-05-18T03:47:40.4559348Z [       OK ] TensorIteratorTest.SerialLoopBinaryNoOutput_Short (0 ms)
2022-05-18T03:47:40.4559787Z [ RUN      ] TensorIteratorTest.SerialLoopBinaryNoOutput_Int
2022-05-18T03:47:40.4560226Z [       OK ] TensorIteratorTest.SerialLoopBinaryNoOutput_Int (0 ms)
2022-05-18T03:47:40.4560650Z [ RUN      ] TensorIteratorTest.SerialLoopBinaryNoOutput_Long
2022-05-18T03:47:40.4561090Z [       OK ] TensorIteratorTest.SerialLoopBinaryNoOutput_Long (0 ms)
2022-05-18T03:47:40.4561536Z [ RUN      ] TensorIteratorTest.SerialLoopBinaryNoOutput_Float
2022-05-18T03:47:40.4562095Z [       OK ] TensorIteratorTest.SerialLoopBinaryNoOutput_Float (0 ms)
2022-05-18T03:47:40.4562538Z [ RUN      ] TensorIteratorTest.SerialLoopBinaryNoOutput_Double
2022-05-18T03:47:40.4563252Z [       OK ] TensorIteratorTest.SerialLoopBinaryNoOutput_Double (0 ms)
2022-05-18T03:47:40.4563774Z [ RUN      ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Byte
2022-05-18T03:47:40.4564223Z [       OK ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Byte (0 ms)
2022-05-18T03:47:40.4564675Z [ RUN      ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Char
2022-05-18T03:47:40.4565130Z [       OK ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Char (0 ms)
2022-05-18T03:47:40.4565570Z [ RUN      ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Short
2022-05-18T03:47:40.4566038Z [       OK ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Short (0 ms)
2022-05-18T03:47:40.4566490Z [ RUN      ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Int
2022-05-18T03:47:40.4566946Z [       OK ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Int (0 ms)
2022-05-18T03:47:40.4567386Z [ RUN      ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Long
2022-05-18T03:47:40.4567848Z [       OK ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Long (0 ms)
2022-05-18T03:47:40.4568304Z [ RUN      ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Float
2022-05-18T03:47:40.4568751Z [       OK ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Float (0 ms)
2022-05-18T03:47:40.4569207Z [ RUN      ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Double
2022-05-18T03:47:40.4569672Z [       OK ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Double (0 ms)
2022-05-18T03:47:40.4570105Z [ RUN      ] TensorIteratorTest.ComparisonLoopBinary_Byte
2022-05-18T03:47:40.4570510Z [       OK ] TensorIteratorTest.ComparisonLoopBinary_Byte (0 ms)
2022-05-18T03:47:40.4570923Z [ RUN      ] TensorIteratorTest.ComparisonLoopBinary_Char
2022-05-18T03:47:40.4571338Z [       OK ] TensorIteratorTest.ComparisonLoopBinary_Char (0 ms)
2022-05-18T03:47:40.4571735Z [ RUN      ] TensorIteratorTest.ComparisonLoopBinary_Short
2022-05-18T03:47:40.4572329Z [       OK ] TensorIteratorTest.ComparisonLoopBinary_Short (0 ms)
2022-05-18T03:47:40.4572753Z [ RUN      ] TensorIteratorTest.ComparisonLoopBinary_Int
2022-05-18T03:47:40.4573166Z [       OK ] TensorIteratorTest.ComparisonLoopBinary_Int (0 ms)
2022-05-18T03:47:40.4573567Z [ RUN      ] TensorIteratorTest.ComparisonLoopBinary_Long
2022-05-18T03:47:40.4573987Z [       OK ] TensorIteratorTest.ComparisonLoopBinary_Long (0 ms)
2022-05-18T03:47:40.4574400Z [ RUN      ] TensorIteratorTest.ComparisonLoopBinary_Float
2022-05-18T03:47:40.4574808Z [       OK ] TensorIteratorTest.ComparisonLoopBinary_Float (0 ms)
2022-05-18T03:47:40.4575223Z [ RUN      ] TensorIteratorTest.ComparisonLoopBinary_Double
2022-05-18T03:47:40.4575648Z [       OK ] TensorIteratorTest.ComparisonLoopBinary_Double (0 ms)
2022-05-18T03:47:40.4576048Z [ RUN      ] TensorIteratorTest.ComparisonLoopBinary_Bool
2022-05-18T03:47:40.4576467Z [       OK ] TensorIteratorTest.ComparisonLoopBinary_Bool (0 ms)
2022-05-18T03:47:40.4576930Z [ RUN      ] TensorIteratorTest.SerialLoopSingleThread
2022-05-18T03:47:40.4594712Z [       OK ] TensorIteratorTest.SerialLoopSingleThread (3 ms)
2022-05-18T03:47:40.4595265Z [ RUN      ] TensorIteratorTest.InputDType
2022-05-18T03:47:40.4595775Z [       OK ] TensorIteratorTest.InputDType (0 ms)
2022-05-18T03:47:40.4596362Z [ RUN      ] TensorIteratorTest.ComputeCommonDTypeInputOnly
2022-05-18T03:47:40.4596995Z [       OK ] TensorIteratorTest.ComputeCommonDTypeInputOnly (0 ms)
2022-05-18T03:47:40.4597664Z [ RUN      ] TensorIteratorTest.DoNotComputeCommonDTypeInputOnly
2022-05-18T03:47:40.4598361Z [       OK ] TensorIteratorTest.DoNotComputeCommonDTypeInputOnly (0 ms)
2022-05-18T03:47:40.4599004Z [ RUN      ] TensorIteratorTest.FailNonPromotingBinaryOp
2022-05-18T03:47:40.4606616Z [       OK ] TensorIteratorTest.FailNonPromotingBinaryOp (1 ms)
2022-05-18T03:47:40.4607906Z [ RUN      ] TensorIteratorTest.CpuKernelMultipleOutputs_Byte
2022-05-18T03:47:40.4608942Z [       OK ] TensorIteratorTest.CpuKernelMultipleOutputs_Byte (0 ms)
2022-05-18T03:47:40.4609726Z [ RUN      ] TensorIteratorTest.CpuKernelMultipleOutputs_Char
2022-05-18T03:47:40.4610533Z [       OK ] TensorIteratorTest.CpuKernelMultipleOutputs_Char (0 ms)
2022-05-18T03:47:40.4611347Z [ RUN      ] TensorIteratorTest.CpuKernelMultipleOutputs_Short
2022-05-18T03:47:40.4612040Z [       OK ] TensorIteratorTest.CpuKernelMultipleOutputs_Short (0 ms)
2022-05-18T03:47:40.4612662Z [ RUN      ] TensorIteratorTest.CpuKernelMultipleOutputs_Int
2022-05-18T03:47:40.4613300Z [       OK ] TensorIteratorTest.CpuKernelMultipleOutputs_Int (0 ms)
2022-05-18T03:47:40.4613930Z [ RUN      ] TensorIteratorTest.CpuKernelMultipleOutputs_Long
2022-05-18T03:47:40.4614582Z [       OK ] TensorIteratorTest.CpuKernelMultipleOutputs_Long (0 ms)
2022-05-18T03:47:40.4615206Z [ RUN      ] TensorIteratorTest.CpuKernelMultipleOutputs_Float
2022-05-18T03:47:40.4615844Z [       OK ] TensorIteratorTest.CpuKernelMultipleOutputs_Float (0 ms)
2022-05-18T03:47:40.4616489Z [ RUN      ] TensorIteratorTest.CpuKernelMultipleOutputs_Double
2022-05-18T03:47:40.4617126Z [       OK ] TensorIteratorTest.CpuKernelMultipleOutputs_Double (0 ms)
2022-05-18T03:47:40.4617723Z [----------] 65 tests from TensorIteratorTest (42 ms total)
2022-05-18T03:47:40.4617978Z 
2022-05-18T03:47:40.4618237Z [----------] Global test environment tear-down
2022-05-18T03:47:40.4621876Z [==========] 65 tests from 1 test suite ran. (42 ms total)
2022-05-18T03:47:40.4622253Z [  PASSED  ] 65 tests.
2022-05-18T03:47:40.5037352Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:40.5037610Z + case "$test" in
2022-05-18T03:47:40.5039401Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/test_parallel
2022-05-18T03:47:40.5045377Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:40.5046186Z + /opt/conda/lib/python3.7/site-packages/torch/test/test_parallel --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/test_parallel.xml
2022-05-18T03:47:40.6762270Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:40.6763248Z [==========] Running 5 tests from 1 test suite.
2022-05-18T03:47:40.6763575Z [----------] Global test environment set-up.
2022-05-18T03:47:40.6763883Z [----------] 5 tests from TestParallel
2022-05-18T03:47:40.6764185Z [ RUN      ] TestParallel.TestParallel
2022-05-18T03:47:40.6856658Z [       OK ] TestParallel.TestParallel (9 ms)
2022-05-18T03:47:40.6857076Z [ RUN      ] TestParallel.NestedParallel
2022-05-18T03:47:40.6875190Z [       OK ] TestParallel.NestedParallel (1 ms)
2022-05-18T03:47:40.6876051Z [ RUN      ] TestParallel.NestedParallelThreadId
2022-05-18T03:47:40.7375664Z [       OK ] TestParallel.NestedParallelThreadId (49 ms)
2022-05-18T03:47:40.7376266Z [ RUN      ] TestParallel.Exceptions
2022-05-18T03:47:40.7376714Z [       OK ] TestParallel.Exceptions (0 ms)
2022-05-18T03:47:40.7377184Z [ RUN      ] TestParallel.IntraOpLaunchFuture
2022-05-18T03:47:40.7377697Z [       OK ] TestParallel.IntraOpLaunchFuture (0 ms)
2022-05-18T03:47:40.7378211Z [----------] 5 tests from TestParallel (60 ms total)
2022-05-18T03:47:40.7378422Z 
2022-05-18T03:47:40.7378671Z [----------] Global test environment tear-down
2022-05-18T03:47:40.7379144Z [==========] 5 tests from 1 test suite ran. (60 ms total)
2022-05-18T03:47:40.7379522Z [  PASSED  ] 5 tests.
2022-05-18T03:47:40.7808192Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:40.7808478Z + case "$test" in
2022-05-18T03:47:40.7810562Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/text_file_reader_utils_test
2022-05-18T03:47:40.7816074Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:40.7816876Z + /opt/conda/lib/python3.7/site-packages/torch/test/text_file_reader_utils_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/text_file_reader_utils_test.xml
2022-05-18T03:47:40.9549081Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:40.9549792Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:47:40.9550298Z [----------] Global test environment set-up.
2022-05-18T03:47:40.9550829Z [----------] 1 test from TextFileReaderUtilsTest
2022-05-18T03:47:40.9551492Z [ RUN      ] TextFileReaderUtilsTest.TokenizeTest
2022-05-18T03:47:40.9552089Z [       OK ] TextFileReaderUtilsTest.TokenizeTest (0 ms)
2022-05-18T03:47:40.9552737Z [----------] 1 test from TextFileReaderUtilsTest (0 ms total)
2022-05-18T03:47:40.9553024Z 
2022-05-18T03:47:40.9553305Z [----------] Global test environment tear-down
2022-05-18T03:47:40.9553870Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-05-18T03:47:40.9554289Z [  PASSED  ] 1 test.
2022-05-18T03:47:40.9946242Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:40.9946555Z + case "$test" in
2022-05-18T03:47:40.9948289Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/thread_init_test
2022-05-18T03:47:40.9953903Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:40.9954430Z + /opt/conda/lib/python3.7/site-packages/torch/test/thread_init_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/thread_init_test.xml
2022-05-18T03:47:41.4680881Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:41.4681410Z + case "$test" in
2022-05-18T03:47:41.4682400Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/time_observer_test
2022-05-18T03:47:41.4688600Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:41.4689296Z + /opt/conda/lib/python3.7/site-packages/torch/test/time_observer_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/time_observer_test.xml
2022-05-18T03:47:41.6407192Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:41.6408022Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:47:41.6408494Z [----------] Global test environment set-up.
2022-05-18T03:47:41.6408799Z [----------] 1 test from TimeObserverTest
2022-05-18T03:47:41.6409189Z [ RUN      ] TimeObserverTest.Test3Seconds
2022-05-18T03:47:41.6409495Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:41.6409798Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:47.6415457Z [       OK ] TimeObserverTest.Test3Seconds (6000 ms)
2022-05-18T03:47:47.6416167Z [----------] 1 test from TimeObserverTest (6000 ms total)
2022-05-18T03:47:47.6416346Z 
2022-05-18T03:47:47.6416539Z [----------] Global test environment tear-down
2022-05-18T03:47:47.6416941Z [==========] 1 test from 1 test suite ran. (6000 ms total)
2022-05-18T03:47:47.6417216Z [  PASSED  ] 1 test.
2022-05-18T03:47:47.6829790Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:47.6830023Z + case "$test" in
2022-05-18T03:47:47.6832354Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/timer_test
2022-05-18T03:47:47.6837833Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:47.6838645Z + /opt/conda/lib/python3.7/site-packages/torch/test/timer_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/timer_test.xml
2022-05-18T03:47:47.8542761Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:47.8543334Z [==========] Running 2 tests from 1 test suite.
2022-05-18T03:47:47.8543660Z [----------] Global test environment set-up.
2022-05-18T03:47:47.8543950Z [----------] 2 tests from TimerTest
2022-05-18T03:47:47.8544218Z [ RUN      ] TimerTest.Test
2022-05-18T03:47:47.9544767Z [       OK ] TimerTest.Test (100 ms)
2022-05-18T03:47:47.9545199Z [ RUN      ] TimerTest.TestLatency
2022-05-18T03:47:47.9545544Z Average nanosecond latency is: 30.812
2022-05-18T03:47:47.9545910Z Average microsecond latency is: 0.031439
2022-05-18T03:47:47.9546446Z Average millisecond latency is: 2.96311e-05
2022-05-18T03:47:47.9546971Z [       OK ] TimerTest.TestLatency (0 ms)
2022-05-18T03:47:47.9547474Z [----------] 2 tests from TimerTest (100 ms total)
2022-05-18T03:47:47.9547708Z 
2022-05-18T03:47:47.9547979Z [----------] Global test environment tear-down
2022-05-18T03:47:47.9548783Z [==========] 2 tests from 1 test suite ran. (100 ms total)
2022-05-18T03:47:47.9549167Z [  PASSED  ] 2 tests.
2022-05-18T03:47:47.9957680Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:47.9958012Z + case "$test" in
2022-05-18T03:47:47.9959156Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/transform_test
2022-05-18T03:47:47.9965173Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:47.9965723Z + /opt/conda/lib/python3.7/site-packages/torch/test/transform_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/transform_test.xml
2022-05-18T03:47:48.1667644Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:48.1668460Z [==========] Running 7 tests from 1 test suite.
2022-05-18T03:47:48.1669048Z [----------] Global test environment set-up.
2022-05-18T03:47:48.1669752Z [----------] 7 tests from TransformTest
2022-05-18T03:47:48.1670080Z [ RUN      ] TransformTest.TestPatternMatch
2022-05-18T03:47:48.1670508Z [       OK ] TransformTest.TestPatternMatch (0 ms)
2022-05-18T03:47:48.1670851Z [ RUN      ] TransformTest.TestReplacePattern
2022-05-18T03:47:48.1671295Z [       OK ] TransformTest.TestReplacePattern (0 ms)
2022-05-18T03:47:48.1671738Z [ RUN      ] TransformTest.TestTransformApply
2022-05-18T03:47:48.1672199Z [       OK ] TransformTest.TestTransformApply (0 ms)
2022-05-18T03:47:48.1672585Z [ RUN      ] TransformTest.TestPatternMatchTypeSortedOrder
2022-05-18T03:47:48.1673027Z [       OK ] TransformTest.TestPatternMatchTypeSortedOrder (0 ms)
2022-05-18T03:47:48.1673448Z [ RUN      ] TransformTest.TestPatternMatchTypeGeneral
2022-05-18T03:47:48.1673847Z [       OK ] TransformTest.TestPatternMatchTypeGeneral (0 ms)
2022-05-18T03:47:48.1674283Z [ RUN      ] TransformTest.TestApplyTransformIfFasterIsFaster
2022-05-18T03:47:48.1674779Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:48.1675101Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:50.1196968Z [       OK ] TransformTest.TestApplyTransformIfFasterIsFaster (1952 ms)
2022-05-18T03:47:50.1197498Z [ RUN      ] TransformTest.TestApplyTransformIfFasterButSlower
2022-05-18T03:47:52.0720063Z [       OK ] TransformTest.TestApplyTransformIfFasterButSlower (1952 ms)
2022-05-18T03:47:52.0720619Z [----------] 7 tests from TransformTest (3905 ms total)
2022-05-18T03:47:52.0720791Z 
2022-05-18T03:47:52.0720961Z [----------] Global test environment tear-down
2022-05-18T03:47:52.0721983Z [==========] 7 tests from 1 test suite ran. (3905 ms total)
2022-05-18T03:47:52.0722293Z [  PASSED  ] 7 tests.
2022-05-18T03:47:52.1137992Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:52.1138242Z + case "$test" in
2022-05-18T03:47:52.1140473Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/type_test
2022-05-18T03:47:52.1146242Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:52.1146798Z + /opt/conda/lib/python3.7/site-packages/torch/test/type_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/type_test.xml
2022-05-18T03:47:52.2879225Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:52.2879723Z [==========] Running 9 tests from 2 test suites.
2022-05-18T03:47:52.2880114Z [----------] Global test environment set-up.
2022-05-18T03:47:52.2880448Z [----------] 3 tests from TypeCustomPrinter
2022-05-18T03:47:52.2880842Z [ RUN      ] TypeCustomPrinter.Basic
2022-05-18T03:47:52.3048599Z [       OK ] TypeCustomPrinter.Basic (16 ms)
2022-05-18T03:47:52.3048996Z [ RUN      ] TypeCustomPrinter.ContainedTypes
2022-05-18T03:47:52.3049383Z [       OK ] TypeCustomPrinter.ContainedTypes (0 ms)
2022-05-18T03:47:52.3049733Z [ RUN      ] TypeCustomPrinter.NamedTuples
2022-05-18T03:47:52.3050071Z [       OK ] TypeCustomPrinter.NamedTuples (0 ms)
2022-05-18T03:47:52.3050438Z [----------] 3 tests from TypeCustomPrinter (16 ms total)
2022-05-18T03:47:52.3050611Z 
2022-05-18T03:47:52.3050769Z [----------] 6 tests from TypeEquality
2022-05-18T03:47:52.3051056Z [ RUN      ] TypeEquality.ClassBasic
2022-05-18T03:47:52.3117333Z [       OK ] TypeEquality.ClassBasic (6 ms)
2022-05-18T03:47:52.3117664Z [ RUN      ] TypeEquality.ClassInequality
2022-05-18T03:47:52.3119333Z [       OK ] TypeEquality.ClassInequality (0 ms)
2022-05-18T03:47:52.3119826Z [ RUN      ] TypeEquality.InterfaceEquality
2022-05-18T03:47:52.3120928Z [       OK ] TypeEquality.InterfaceEquality (0 ms)
2022-05-18T03:47:52.3121739Z [ RUN      ] TypeEquality.InterfaceInequality
2022-05-18T03:47:52.3122324Z [       OK ] TypeEquality.InterfaceInequality (0 ms)
2022-05-18T03:47:52.3136026Z [ RUN      ] TypeEquality.TupleEquality
2022-05-18T03:47:52.3136604Z [       OK ] TypeEquality.TupleEquality (0 ms)
2022-05-18T03:47:52.3136950Z [ RUN      ] TypeEquality.NamedTupleEquality
2022-05-18T03:47:52.3137313Z [       OK ] TypeEquality.NamedTupleEquality (0 ms)
2022-05-18T03:47:52.3137679Z [----------] 6 tests from TypeEquality (7 ms total)
2022-05-18T03:47:52.3137840Z 
2022-05-18T03:47:52.3138018Z [----------] Global test environment tear-down
2022-05-18T03:47:52.3138345Z [==========] 9 tests from 2 test suites ran. (24 ms total)
2022-05-18T03:47:52.3138622Z [  PASSED  ] 9 tests.
2022-05-18T03:47:52.3524394Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:52.3524841Z + case "$test" in
2022-05-18T03:47:52.3526649Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/undefined_tensor_test
2022-05-18T03:47:52.3532248Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:52.3532960Z + /opt/conda/lib/python3.7/site-packages/torch/test/undefined_tensor_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/undefined_tensor_test.xml
2022-05-18T03:47:52.5227861Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:52.5228625Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:47:52.5228946Z [----------] Global test environment set-up.
2022-05-18T03:47:52.5229250Z [----------] 1 test from TestUndefined
2022-05-18T03:47:52.5229561Z [ RUN      ] TestUndefined.UndefinedTest
2022-05-18T03:47:52.5438854Z [       OK ] TestUndefined.UndefinedTest (21 ms)
2022-05-18T03:47:52.5439500Z [----------] 1 test from TestUndefined (21 ms total)
2022-05-18T03:47:52.5439732Z 
2022-05-18T03:47:52.5439917Z [----------] Global test environment tear-down
2022-05-18T03:47:52.5440308Z [==========] 1 test from 1 test suite ran. (21 ms total)
2022-05-18T03:47:52.5440581Z [  PASSED  ] 1 test.
2022-05-18T03:47:52.5848673Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:52.5848914Z + case "$test" in
2022-05-18T03:47:52.5851364Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/utility_ops_test
2022-05-18T03:47:52.5856935Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:52.5857866Z + /opt/conda/lib/python3.7/site-packages/torch/test/utility_ops_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/utility_ops_test.xml
2022-05-18T03:47:52.7574303Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:52.7575083Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:47:52.7575616Z [----------] Global test environment set-up.
2022-05-18T03:47:52.7576115Z [----------] 1 test from UtilityOpTest
2022-05-18T03:47:52.7576634Z [ RUN      ] UtilityOpTest.testReshapeWithScalar
2022-05-18T03:47:52.7577066Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T03:47:52.7577674Z [       OK ] UtilityOpTest.testReshapeWithScalar (0 ms)
2022-05-18T03:47:52.7578345Z [----------] 1 test from UtilityOpTest (0 ms total)
2022-05-18T03:47:52.7578594Z 
2022-05-18T03:47:52.7578872Z [----------] Global test environment tear-down
2022-05-18T03:47:52.7580344Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-05-18T03:47:52.7580782Z [  PASSED  ] 1 test.
2022-05-18T03:47:52.7994316Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:52.7994571Z + case "$test" in
2022-05-18T03:47:52.7998986Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/variant_test
2022-05-18T03:47:52.8002280Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:52.8002805Z + /opt/conda/lib/python3.7/site-packages/torch/test/variant_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/variant_test.xml
2022-05-18T03:47:52.9703985Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:52.9704834Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:47:52.9705346Z [----------] Global test environment set-up.
2022-05-18T03:47:52.9705838Z [----------] 1 test from VariantTest
2022-05-18T03:47:52.9706255Z [ RUN      ] VariantTest.Basic
2022-05-18T03:47:52.9706660Z [       OK ] VariantTest.Basic (0 ms)
2022-05-18T03:47:52.9707078Z [----------] 1 test from VariantTest (0 ms total)
2022-05-18T03:47:52.9707268Z 
2022-05-18T03:47:52.9707521Z [----------] Global test environment tear-down
2022-05-18T03:47:52.9707946Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-05-18T03:47:52.9708533Z [  PASSED  ] 1 test.
2022-05-18T03:47:53.0106327Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:53.0106625Z + case "$test" in
2022-05-18T03:47:53.0108376Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/verify_api_visibility
2022-05-18T03:47:53.0114447Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:53.0115020Z + /opt/conda/lib/python3.7/site-packages/torch/test/verify_api_visibility --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/verify_api_visibility.xml
2022-05-18T03:47:53.2228034Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:53.2228311Z + case "$test" in
2022-05-18T03:47:53.2230514Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/vmap_test
2022-05-18T03:47:53.2236079Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:53.2236655Z + /opt/conda/lib/python3.7/site-packages/torch/test/vmap_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/vmap_test.xml
2022-05-18T03:47:53.3952986Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:53.3953520Z [==========] Running 23 tests from 1 test suite.
2022-05-18T03:47:53.3953846Z [----------] Global test environment set-up.
2022-05-18T03:47:53.3954141Z [----------] 23 tests from VmapTest
2022-05-18T03:47:53.3954444Z [ RUN      ] VmapTest.TestBatchedTensor
2022-05-18T03:47:53.4149127Z [       OK ] VmapTest.TestBatchedTensor (19 ms)
2022-05-18T03:47:53.4149488Z [ RUN      ] VmapTest.TestBatchedTensorMaxLevel
2022-05-18T03:47:53.4163284Z [       OK ] VmapTest.TestBatchedTensorMaxLevel (1 ms)
2022-05-18T03:47:53.4163671Z [ RUN      ] VmapTest.TestBatchedTensorActualDim
2022-05-18T03:47:53.4191042Z [       OK ] VmapTest.TestBatchedTensorActualDim (2 ms)
2022-05-18T03:47:53.4191466Z [ RUN      ] VmapTest.TestMultiBatchVmapTransform
2022-05-18T03:47:53.4201213Z [       OK ] VmapTest.TestMultiBatchVmapTransform (1 ms)
2022-05-18T03:47:53.4201711Z [ RUN      ] VmapTest.TestVmapPhysicalViewGetPhysicalDim
2022-05-18T03:47:53.4211564Z [       OK ] VmapTest.TestVmapPhysicalViewGetPhysicalDim (1 ms)
2022-05-18T03:47:53.4212090Z [ RUN      ] VmapTest.TestVmapPhysicalViewGetPhysicalDims
2022-05-18T03:47:53.4221696Z [       OK ] VmapTest.TestVmapPhysicalViewGetPhysicalDims (0 ms)
2022-05-18T03:47:53.4222198Z [ RUN      ] VmapTest.TestVmapPhysicalViewNewLogicalFromPhysical
2022-05-18T03:47:53.4222685Z [       OK ] VmapTest.TestVmapPhysicalViewNewLogicalFromPhysical (0 ms)
2022-05-18T03:47:53.4223093Z [ RUN      ] VmapTest.TestBatchedTensorSum
2022-05-18T03:47:53.4226458Z [       OK ] VmapTest.TestBatchedTensorSum (0 ms)
2022-05-18T03:47:53.4226887Z [ RUN      ] VmapTest.TestBroadcastingVmapTransformBatchedBatched
2022-05-18T03:47:53.4233342Z [       OK ] VmapTest.TestBroadcastingVmapTransformBatchedBatched (0 ms)
2022-05-18T03:47:53.4233859Z [ RUN      ] VmapTest.TestBroadcastingVmapTransformBatchedUnbatched
2022-05-18T03:47:53.4238431Z [       OK ] VmapTest.TestBroadcastingVmapTransformBatchedUnbatched (0 ms)
2022-05-18T03:47:53.4238936Z [ RUN      ] VmapTest.TestBroadcastingVmapTransformMaxLevels
2022-05-18T03:47:53.4242752Z [       OK ] VmapTest.TestBroadcastingVmapTransformMaxLevels (0 ms)
2022-05-18T03:47:53.4243319Z [ RUN      ] VmapTest.TestBatchedTensorMul
2022-05-18T03:47:53.4245386Z [       OK ] VmapTest.TestBatchedTensorMul (0 ms)
2022-05-18T03:47:53.4245729Z [ RUN      ] VmapTest.TestBatchedTensorSize
2022-05-18T03:47:53.4251873Z [       OK ] VmapTest.TestBatchedTensorSize (0 ms)
2022-05-18T03:47:53.4252354Z [ RUN      ] VmapTest.TestVmapPhysicalViewGetPhysicalShape
2022-05-18T03:47:53.4252980Z [       OK ] VmapTest.TestVmapPhysicalViewGetPhysicalShape (0 ms)
2022-05-18T03:47:53.4253374Z [ RUN      ] VmapTest.TestBatchedTensorExpand
2022-05-18T03:47:53.4354809Z [       OK ] VmapTest.TestBatchedTensorExpand (10 ms)
2022-05-18T03:47:53.4355499Z [ RUN      ] VmapTest.TestBatchedTensorUnsqueeze
2022-05-18T03:47:53.4356038Z [       OK ] VmapTest.TestBatchedTensorUnsqueeze (0 ms)
2022-05-18T03:47:53.4356409Z [ RUN      ] VmapTest.TestBatchedTensorSqueeze
2022-05-18T03:47:53.4357081Z [       OK ] VmapTest.TestBatchedTensorSqueeze (0 ms)
2022-05-18T03:47:53.4357611Z [ RUN      ] VmapTest.TestBatchedTensorTranspose
2022-05-18T03:47:53.4359600Z [       OK ] VmapTest.TestBatchedTensorTranspose (0 ms)
2022-05-18T03:47:53.4360214Z [ RUN      ] VmapTest.TestBatchedTensorPermute
2022-05-18T03:47:53.4361637Z [       OK ] VmapTest.TestBatchedTensorPermute (0 ms)
2022-05-18T03:47:53.4362308Z [ RUN      ] VmapTest.TestMultiBatchVmapTransformBatchedBatched
2022-05-18T03:47:53.4374844Z [       OK ] VmapTest.TestMultiBatchVmapTransformBatchedBatched (1 ms)
2022-05-18T03:47:53.4375522Z [ RUN      ] VmapTest.TestMultiBatchVmapTransformBatchedUnbatched
2022-05-18T03:47:53.4380927Z [       OK ] VmapTest.TestMultiBatchVmapTransformBatchedUnbatched (0 ms)
2022-05-18T03:47:53.4381431Z [ RUN      ] VmapTest.TestMultiBatchVmapTransformMaxLevels
2022-05-18T03:47:53.4384912Z [       OK ] VmapTest.TestMultiBatchVmapTransformMaxLevels (0 ms)
2022-05-18T03:47:53.4385412Z [ RUN      ] VmapTest.TestMultiBatchVmapTransformMultipleTensors
2022-05-18T03:47:53.4389055Z [       OK ] VmapTest.TestMultiBatchVmapTransformMultipleTensors (0 ms)
2022-05-18T03:47:53.4389471Z [----------] 23 tests from VmapTest (43 ms total)
2022-05-18T03:47:53.4389649Z 
2022-05-18T03:47:53.4389828Z [----------] Global test environment tear-down
2022-05-18T03:47:53.4395423Z [==========] 23 tests from 1 test suite ran. (43 ms total)
2022-05-18T03:47:53.4395855Z [  PASSED  ] 23 tests.
2022-05-18T03:47:53.4819554Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:53.4819820Z + case "$test" in
2022-05-18T03:47:53.4822035Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/weakref_test
2022-05-18T03:47:53.4827815Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:53.4828385Z + /opt/conda/lib/python3.7/site-packages/torch/test/weakref_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/weakref_test.xml
2022-05-18T03:47:53.6536469Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:53.6537252Z [==========] Running 3 tests from 1 test suite.
2022-05-18T03:47:53.6537835Z [----------] Global test environment set-up.
2022-05-18T03:47:53.6538168Z [----------] 3 tests from TestWeakPointer
2022-05-18T03:47:53.6538588Z [ RUN      ] TestWeakPointer.WeakPointerGetsInvalidated
2022-05-18T03:47:53.6540201Z [       OK ] TestWeakPointer.WeakPointerGetsInvalidated (0 ms)
2022-05-18T03:47:53.6540846Z [ RUN      ] TestWeakPointer.WeakPointerLock
2022-05-18T03:47:53.6541462Z [       OK ] TestWeakPointer.WeakPointerLock (0 ms)
2022-05-18T03:47:53.6541854Z [ RUN      ] TestWeakPointer.WeakUpdatesRefcountsTest
2022-05-18T03:47:53.6542299Z [       OK ] TestWeakPointer.WeakUpdatesRefcountsTest (0 ms)
2022-05-18T03:47:53.6542954Z [----------] 3 tests from TestWeakPointer (0 ms total)
2022-05-18T03:47:53.6543264Z 
2022-05-18T03:47:53.6543581Z [----------] Global test environment tear-down
2022-05-18T03:47:53.6543916Z [==========] 3 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:47:53.6544258Z [  PASSED  ] 3 tests.
2022-05-18T03:47:53.6949192Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:53.6949462Z + case "$test" in
2022-05-18T03:47:53.6951757Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/workspace_test
2022-05-18T03:47:53.6957763Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:53.6958483Z + /opt/conda/lib/python3.7/site-packages/torch/test/workspace_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/workspace_test.xml
2022-05-18T03:47:53.8653925Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:53.8654568Z [==========] Running 5 tests from 1 test suite.
2022-05-18T03:47:53.8655106Z [----------] Global test environment set-up.
2022-05-18T03:47:53.8655425Z [----------] 5 tests from WorkspaceTest
2022-05-18T03:47:53.8655762Z [ RUN      ] WorkspaceTest.BlobAccess
2022-05-18T03:47:53.8656083Z [W workspace.cc:188] Blob nonexisting not in the workspace.
2022-05-18T03:47:53.8656368Z [W workspace.cc:188] Blob newblob not in the workspace.
2022-05-18T03:47:53.8656715Z [W workspace.cc:188] Blob nonexisting not in the workspace.
2022-05-18T03:47:53.8657090Z [       OK ] WorkspaceTest.BlobAccess (0 ms)
2022-05-18T03:47:53.8657522Z [ RUN      ] WorkspaceTest.RunEmptyPlan
2022-05-18T03:47:53.8657981Z [W plan_executor.cc:666] Nothing to run - did you define a correct plan?
2022-05-18T03:47:53.8658430Z [       OK ] WorkspaceTest.RunEmptyPlan (0 ms)
2022-05-18T03:47:53.8658726Z [ RUN      ] WorkspaceTest.Sharing
2022-05-18T03:47:53.8658979Z [W workspace.cc:188] Blob b not in the workspace.
2022-05-18T03:47:53.8659234Z [W workspace.cc:188] Blob b not in the workspace.
2022-05-18T03:47:53.8659473Z [W workspace.cc:188] Blob b not in the workspace.
2022-05-18T03:47:53.8659779Z [       OK ] WorkspaceTest.Sharing (0 ms)
2022-05-18T03:47:53.8660092Z [ RUN      ] WorkspaceTest.BlobMapping
2022-05-18T03:47:53.8660404Z [       OK ] WorkspaceTest.BlobMapping (0 ms)
2022-05-18T03:47:53.8660711Z [ RUN      ] WorkspaceTest.ForEach
2022-05-18T03:47:53.8661015Z [       OK ] WorkspaceTest.ForEach (0 ms)
2022-05-18T03:47:53.8661335Z [----------] 5 tests from WorkspaceTest (0 ms total)
2022-05-18T03:47:53.8661501Z 
2022-05-18T03:47:53.8661678Z [----------] Global test environment tear-down
2022-05-18T03:47:53.8662013Z [==========] 5 tests from 1 test suite ran. (0 ms total)
2022-05-18T03:47:53.8662283Z [  PASSED  ] 5 tests.
2022-05-18T03:47:53.9038774Z + for test in '$(find "$cpp_test_dir" -executable -type f)'
2022-05-18T03:47:53.9039016Z + case "$test" in
2022-05-18T03:47:53.9041532Z ++ basename /opt/conda/lib/python3.7/site-packages/torch/test/wrapdim_test
2022-05-18T03:47:53.9047997Z + LD_LIBRARY_PATH=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:47:53.9048794Z + /opt/conda/lib/python3.7/site-packages/torch/test/wrapdim_test --gtest_output=xml:/var/lib/jenkins/workspace/test/test-reports/cpp/wrapdim_test.xml
2022-05-18T03:47:54.0758360Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-05-18T03:47:54.0759196Z [==========] Running 1 test from 1 test suite.
2022-05-18T03:47:54.0759766Z [----------] Global test environment set-up.
2022-05-18T03:47:54.0760330Z [----------] 1 test from TestWrapdim
2022-05-18T03:47:54.0760816Z [ RUN      ] TestWrapdim.TestWrapdim
2022-05-18T03:47:54.0766612Z [       OK ] TestWrapdim.TestWrapdim (0 ms)
2022-05-18T03:47:54.0767187Z [----------] 1 test from TestWrapdim (0 ms total)
2022-05-18T03:47:54.0767469Z 
2022-05-18T03:47:54.0767724Z [----------] Global test environment tear-down
2022-05-18T03:47:54.0768633Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-05-18T03:47:54.0769092Z [  PASSED  ] 1 test.
2022-05-18T03:47:54.1176276Z + [[ linux-xenial-py3.7-clang7-onnx == *cmake* ]]
2022-05-18T03:47:54.1178687Z ++ which pip
2022-05-18T03:47:54.1185791Z + PIP=/opt/conda/bin/pip
2022-05-18T03:47:54.1188841Z ++ stat --format %U /opt/conda/bin/pip
2022-05-18T03:47:54.1199187Z + PIP_USER=jenkins
2022-05-18T03:47:54.1202653Z ++ id -u -n
2022-05-18T03:47:54.1212999Z + CURRENT_USER=jenkins
2022-05-18T03:47:54.1213230Z + [[ jenkins = root ]]
2022-05-18T03:47:54.1213510Z + pip -q uninstall -y hypothesis
2022-05-18T03:47:54.4979148Z + pip -q uninstall -y coverage
2022-05-18T03:47:54.7980925Z WARNING: Skipping coverage as it is not installed.
2022-05-18T03:47:54.8388189Z + pip -q install attrs==18.1.0 -f https://s3.amazonaws.com/ossci-linux/wheels/attrs-18.1.0-py2.py3-none-any.whl
2022-05-18T03:47:55.1804282Z WARNING: Skipping page https://s3.amazonaws.com/ossci-linux/wheels/attrs-18.1.0-py2.py3-none-any.whl because the HEAD request got Content-Type: binary/octet-stream.The only supported Content-Type is text/html
2022-05-18T03:47:55.6319515Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
2022-05-18T03:47:55.6320162Z pytest 7.1.2 requires attrs>=19.2.0, but you have attrs 18.1.0 which is incompatible.
2022-05-18T03:47:55.6889223Z + pip -q install coverage==4.5.1 -f https://s3.amazonaws.com/ossci-linux/wheels/coverage-4.5.1-cp36-cp36m-macosx_10_12_x86_64.whl
2022-05-18T03:47:56.0307650Z WARNING: Skipping page https://s3.amazonaws.com/ossci-linux/wheels/coverage-4.5.1-cp36-cp36m-macosx_10_12_x86_64.whl because the HEAD request got Content-Type: binary/octet-stream.The only supported Content-Type is text/html
2022-05-18T03:47:56.9853695Z + pip -q install hypothesis==3.44.6 -f https://s3.amazonaws.com/ossci-linux/wheels/hypothesis-3.44.6-py3-none-any.whl
2022-05-18T03:47:57.3309525Z WARNING: Skipping page https://s3.amazonaws.com/ossci-linux/wheels/hypothesis-3.44.6-py3-none-any.whl because the HEAD request got Content-Type: binary/octet-stream.The only supported Content-Type is text/html
2022-05-18T03:47:58.5677786Z + EXTRA_TESTS=()
2022-05-18T03:47:58.5678562Z + [[ linux-xenial-py3.7-clang7-onnx == *-cuda* ]]
2022-05-18T03:47:58.5679183Z + [[ linux-xenial-py3.7-clang7-onnx == *-rocm* ]]
2022-05-18T03:47:58.5679575Z + rocm_ignore_test=()
2022-05-18T03:47:58.5680044Z + [[ linux-xenial-py3.7-clang7-onnx == *-rocm* ]]
2022-05-18T03:47:58.5680361Z + echo 'Running Python tests..'
2022-05-18T03:47:58.5680576Z Running Python tests..
2022-05-18T03:47:58.5680946Z + for loc in '"en_US.utf8"' '"C.UTF-8"'
2022-05-18T03:47:58.5681325Z + locale -a
2022-05-18T03:47:58.5681930Z + grep en_US.utf8
2022-05-18T03:47:58.5690834Z + for loc in '"en_US.utf8"' '"C.UTF-8"'
2022-05-18T03:47:58.5693304Z + locale -a
2022-05-18T03:47:58.5694232Z + grep C.UTF-8
2022-05-18T03:47:58.5703085Z + export LC_ALL=C.UTF-8
2022-05-18T03:47:58.5703670Z + LC_ALL=C.UTF-8
2022-05-18T03:47:58.5704749Z + export LANG=C.UTF-8
2022-05-18T03:47:58.5705051Z + LANG=C.UTF-8
2022-05-18T03:47:58.5705342Z + break
2022-05-18T03:47:58.5705694Z + export DNNL_MAX_CPU_ISA=AVX2
2022-05-18T03:47:58.5705930Z + DNNL_MAX_CPU_ISA=AVX2
2022-05-18T03:47:58.5706136Z + [[ 1 == \1 ]]
2022-05-18T03:47:58.5706382Z + pip install --user pytest-sugar
2022-05-18T03:47:58.9152258Z Collecting pytest-sugar
2022-05-18T03:47:58.9472267Z   Downloading pytest-sugar-0.9.4.tar.gz (12 kB)
2022-05-18T03:48:00.0806375Z Requirement already satisfied: pytest>=2.9 in /opt/conda/lib/python3.7/site-packages (from pytest-sugar) (7.1.2)
2022-05-18T03:48:00.0944022Z Collecting termcolor>=1.1.0
2022-05-18T03:48:00.1005139Z   Downloading termcolor-1.1.0.tar.gz (3.9 kB)
2022-05-18T03:48:00.9901068Z Requirement already satisfied: packaging>=14.1 in /opt/conda/lib/python3.7/site-packages (from pytest-sugar) (21.3)
2022-05-18T03:48:00.9924159Z Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /opt/conda/lib/python3.7/site-packages (from packaging>=14.1->pytest-sugar) (3.0.9)
2022-05-18T03:48:01.0590310Z Collecting attrs>=19.2.0
2022-05-18T03:48:01.0616099Z   Using cached attrs-21.4.0-py2.py3-none-any.whl (60 kB)
2022-05-18T03:48:01.0648823Z Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/lib/python3.7/site-packages (from pytest>=2.9->pytest-sugar) (4.11.3)
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2022-05-18T03:48:01.1314400Z Building wheels for collected packages: pytest-sugar, termcolor
2022-05-18T03:48:02.5966883Z   Building wheel for pytest-sugar (setup.py) ... [?25l- \ | / - done
2022-05-18T03:48:02.5973071Z [?25h  Created wheel for pytest-sugar: filename=pytest_sugar-0.9.4-py2.py3-none-any.whl size=8987 sha256=0766e52ed8096df1af80b54cec55f07d4c0d312b933b70571b0869a6dfa3ea73
2022-05-18T03:48:02.5973640Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/9c/e8/b6/5009ec756a2f40eed690a8b0a95549cd788c1ec968832876df
2022-05-18T03:48:03.8103259Z   Building wheel for termcolor (setup.py) ... [?25l- \ | / done
2022-05-18T03:48:03.8109202Z [?25h  Created wheel for termcolor: filename=termcolor-1.1.0-py3-none-any.whl size=4848 sha256=845e7b09f6b7766d5bb798328ad9b3eb38fdf48cae8a5b6f816006971c5036e4
2022-05-18T03:48:03.8109742Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/3f/e3/ec/8a8336ff196023622fbcb36de0c5a5c218cbb24111d1d4c7f2
2022-05-18T03:48:03.8129168Z Successfully built pytest-sugar termcolor
2022-05-18T03:48:04.1024716Z Installing collected packages: attrs, termcolor, pytest-sugar
2022-05-18T03:48:04.1579649Z Successfully installed attrs-21.4.0 pytest-sugar-0.9.4 termcolor-1.1.0
2022-05-18T03:48:04.2246935Z + /opt/conda/bin/python3.7 -m pytest -x -v --disable-warnings --junit-xml=/var/lib/jenkins/workspace/test/test-reports/python/result.xml --ignore /opt/conda/lib/python3.7/site-packages/caffe2/python/test/executor_test.py --ignore /opt/conda/lib/python3.7/site-packages/caffe2/python/operator_test/matmul_op_test.py --ignore /opt/conda/lib/python3.7/site-packages/caffe2/python/operator_test/pack_ops_test.py --ignore /opt/conda/lib/python3.7/site-packages/caffe2/python/mkl/mkl_sbn_speed_test.py --ignore /opt/conda/lib/python3.7/site-packages/caffe2/python/trt/test_pt_onnx_trt.py /opt/conda/lib/python3.7/site-packages/caffe2/python
2022-05-18T03:48:04.5732709Z Test session starts (platform: linux, Python 3.7.13, pytest 7.1.2, pytest-sugar 0.9.4)
2022-05-18T03:48:04.5751165Z cachedir: .pytest_cache
2022-05-18T03:48:04.5751643Z rootdir: /opt/conda/lib/python3.7/site-packages/caffe2/python
2022-05-18T03:48:04.5751976Z plugins: sugar-0.9.4, hypothesis-3.44.6
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2022-05-18T03:57:22.4948775Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python/result.xml -
2022-05-18T03:57:22.5530227Z ---------- onnx coverage: ----------
2022-05-18T03:57:22.5530509Z Operators (passed/loaded/total): 82/82/192
2022-05-18T03:57:22.5530800Z ------------------------------------
2022-05-18T03:57:22.5570114Z Operator               Attributes
2022-05-18T03:57:22.5570463Z                        (name: #values)
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2022-05-18T03:57:22.5571853Z And                    No attributes
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2022-05-18T03:57:22.5572510Z                        keepdims: 2
2022-05-18T03:57:22.5572852Z                        select_last_index: 0
2022-05-18T03:57:22.5573208Z ArgMin                 axis: 1
2022-05-18T03:57:22.5573491Z                        keepdims: 2
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2022-05-18T03:57:22.5575130Z                        strides: 6
2022-05-18T03:57:22.5575321Z                        auto_pad: 0
2022-05-18T03:57:22.5575499Z                        ceil_mode: 0
2022-05-18T03:57:22.5575695Z Conv                   dilations: 6
2022-05-18T03:57:22.5575888Z                        group: 7
2022-05-18T03:57:22.5576069Z                        kernel_shape: 11
2022-05-18T03:57:22.5576263Z                        pads: 10
2022-05-18T03:57:22.5576451Z                        strides: 7
2022-05-18T03:57:22.5576628Z                        auto_pad: 0
2022-05-18T03:57:22.5576838Z BatchNormalization     epsilon: 3
2022-05-18T03:57:22.5577047Z                        is_test: 1
2022-05-18T03:57:22.5577222Z                        momentum: 1
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2022-05-18T03:57:22.5578004Z Constant               value: 7
2022-05-18T03:57:22.5578202Z                        sparse_value: 0
2022-05-18T03:57:22.5578400Z                        value_float: 0
2022-05-18T03:57:22.5578586Z                        value_floats: 0
2022-05-18T03:57:22.5578782Z                        value_int: 0
2022-05-18T03:57:22.5578977Z                        value_ints: 0
2022-05-18T03:57:22.5579162Z                        value_string: 0
2022-05-18T03:57:22.5579360Z                        value_strings: 0
2022-05-18T03:57:22.5579568Z ConstantOfShape        value: 1
2022-05-18T03:57:22.5579872Z Cos                    No attributes
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2022-05-18T03:57:22.5580279Z Div                    No attributes
2022-05-18T03:57:22.5580458Z Elu                    alpha: 1
2022-05-18T03:57:22.5580655Z Equal                  No attributes
2022-05-18T03:57:22.5580856Z Erf                    No attributes
2022-05-18T03:57:22.5581038Z Exp                    No attributes
2022-05-18T03:57:22.5581239Z Expand                 No attributes
2022-05-18T03:57:22.5581440Z Flatten                axis: 4
2022-05-18T03:57:22.5581625Z Floor                  No attributes
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2022-05-18T03:57:22.5582016Z Gemm                   alpha: 3
2022-05-18T03:57:22.5582190Z                        beta: 4
2022-05-18T03:57:22.5582378Z                        broadcast: 1
2022-05-18T03:57:22.5582682Z                        transA: 1
2022-05-18T03:57:22.5582868Z                        transB: 1
2022-05-18T03:57:22.5583066Z GlobalAveragePool      No attributes
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2022-05-18T03:57:22.5583597Z Greater                No attributes
2022-05-18T03:57:22.5583820Z InstanceNormalization  epsilon: 2
2022-05-18T03:57:22.5584028Z LeakyRelu              alpha: 3
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2022-05-18T03:57:22.5584608Z LRN                    alpha: 3
2022-05-18T03:57:22.5584793Z                        beta: 2
2022-05-18T03:57:22.5584973Z                        bias: 2
2022-05-18T03:57:22.5585140Z                        size: 2
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2022-05-18T03:57:22.5585539Z MaxPool                kernel_shape: 7
2022-05-18T03:57:22.5585727Z                        pads: 7
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2022-05-18T03:57:22.5586102Z                        auto_pad: 0
2022-05-18T03:57:22.5586284Z                        ceil_mode: 0
2022-05-18T03:57:22.5586479Z                        dilations: 0
2022-05-18T03:57:22.5586680Z                        storage_order: 0
2022-05-18T03:57:22.5586869Z Mean                   No attributes
2022-05-18T03:57:22.5587108Z Mul                    No attributes
2022-05-18T03:57:22.5587309Z Neg                    No attributes
2022-05-18T03:57:22.5587495Z Not                    No attributes
2022-05-18T03:57:22.5587694Z Or                     No attributes
2022-05-18T03:57:22.5587893Z Pow                    No attributes
2022-05-18T03:57:22.5588087Z Reciprocal             No attributes
2022-05-18T03:57:22.5588290Z ReduceMax              axes: 1
2022-05-18T03:57:22.5588489Z                        keepdims: 2
2022-05-18T03:57:22.5588684Z ReduceMean             axes: 2
2022-05-18T03:57:22.5588865Z                        keepdims: 2
2022-05-18T03:57:22.5589062Z ReduceMin              axes: 1
2022-05-18T03:57:22.5589256Z                        keepdims: 2
2022-05-18T03:57:22.5589443Z Relu                   No attributes
2022-05-18T03:57:22.5589648Z Reshape                allowzero: 0
2022-05-18T03:57:22.5589851Z Selu                   alpha: 1
2022-05-18T03:57:22.5590026Z                        gamma: 1
2022-05-18T03:57:22.5590214Z Shape                  end: 1
2022-05-18T03:57:22.5590403Z                        start: 1
2022-05-18T03:57:22.5590586Z Sigmoid                No attributes
2022-05-18T03:57:22.5590856Z Sign                   No attributes
2022-05-18T03:57:22.5591068Z Sin                    No attributes
2022-05-18T03:57:22.5591255Z Sinh                   No attributes
2022-05-18T03:57:22.5591451Z Size                   No attributes
2022-05-18T03:57:22.5591653Z Softplus               No attributes
2022-05-18T03:57:22.5591845Z Softsign               No attributes
2022-05-18T03:57:22.5592044Z Split                  axis: 3
2022-05-18T03:57:22.5592232Z                        split: 1
2022-05-18T03:57:22.5592411Z Sqrt                   No attributes
2022-05-18T03:57:22.5592605Z Sub                    No attributes
2022-05-18T03:57:22.5592804Z Sum                    No attributes
2022-05-18T03:57:22.5592989Z Tan                    No attributes
2022-05-18T03:57:22.5593186Z Tanh                   No attributes
2022-05-18T03:57:22.5593397Z ThresholdedRelu        alpha: 1
2022-05-18T03:57:22.5593605Z Transpose              perm: 9
2022-05-18T03:57:22.5593791Z Upsample               mode: 1
2022-05-18T03:57:22.5593991Z Where                  No attributes
2022-05-18T03:57:22.5594189Z Xor                    No attributes
2022-05-18T03:57:22.5594375Z Dropout                ratio: 2
2022-05-18T03:57:22.5594570Z                        seed: 0
2022-05-18T03:57:22.5594755Z Softmax                axis: 1
2022-05-18T03:57:22.5594936Z Unsqueeze              axes: 2
2022-05-18T03:57:22.5595124Z Squeeze                axes: 2
2022-05-18T03:57:22.5595316Z Pad                    mode: 3
2022-05-18T03:57:22.5595487Z                        pads: 2
2022-05-18T03:57:22.5595665Z                        value: 2
2022-05-18T03:57:22.5595868Z ConvTranspose          dilations: 1
2022-05-18T03:57:22.5596110Z                        group: 1
2022-05-18T03:57:22.5596304Z                        kernel_shape: 1
2022-05-18T03:57:22.5596512Z                        output_padding: 2
2022-05-18T03:57:22.5596695Z                        pads: 1
2022-05-18T03:57:22.5596882Z                        strides: 3
2022-05-18T03:57:22.5597070Z                        auto_pad: 0
2022-05-18T03:57:22.5597255Z                        output_shape: 0
2022-05-18T03:57:22.5597455Z LogSoftmax             axis: 3
2022-05-18T03:57:22.5597659Z PRelu                  No attributes
2022-05-18T03:57:22.5597844Z Clip                   max: 1
2022-05-18T03:57:22.5598034Z                        min: 1
2022-05-18T03:57:22.5598220Z Slice                  axes: 1
2022-05-18T03:57:22.5598405Z                        ends: 1
2022-05-18T03:57:22.5598574Z                        starts: 1
2022-05-18T03:57:22.5598766Z Max                    No attributes
2022-05-18T03:57:22.5598969Z Min                    No attributes
2022-05-18T03:57:22.5599154Z ReduceSum              axes: 1
2022-05-18T03:57:22.5599354Z                        keepdims: 2
2022-05-18T03:57:22.5599565Z                        noop_with_empty_axes: 0
2022-05-18T03:57:22.5599786Z Results (557.98s):
2022-05-18T03:57:22.5641759Z     1924 passed
2022-05-18T03:57:22.5652241Z     1849 skipped
2022-05-18T03:57:23.9492544Z + [[ linux-xenial-py3.7-clang7-onnx == *onnx* ]]
2022-05-18T03:57:23.9493059Z + pip install -q --user git+https://github.com/pytorch/vision.git@8a2dc6f22ac4389ccba8859aa1e1cb14f1ee53db
2022-05-18T04:00:36.5892217Z + pip install -q --user ninja flatbuffers==2.0 numpy==1.21.5 onnxruntime==1.11.0
2022-05-18T04:00:39.7225558Z   WARNING: The scripts f2py, f2py3 and f2py3.7 are installed in '/var/lib/jenkins/.local/bin' which is not on PATH.
2022-05-18T04:00:39.7226226Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2022-05-18T04:00:40.0222091Z   WARNING: The script onnxruntime_test is installed in '/var/lib/jenkins/.local/bin' which is not on PATH.
2022-05-18T04:00:40.0222678Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2022-05-18T04:00:40.0373242Z   WARNING: The script ninja is installed in '/var/lib/jenkins/.local/bin' which is not on PATH.
2022-05-18T04:00:40.0373771Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2022-05-18T04:00:40.0429715Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
2022-05-18T04:00:40.0430361Z scikit-image 0.19.2 requires networkx>=2.2, but you have networkx 2.0 which is incompatible.
2022-05-18T04:00:40.1238733Z + pip uninstall -q --yes numba
2022-05-18T04:00:42.2093133Z + 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
2022-05-18T04:00:42.2093683Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2022-05-18T04:00:42.2094022Z + /var/lib/jenkins/workspace/scripts/onnx/test.sh
2022-05-18T04:00:42.2157050Z + UNKNOWN=()
2022-05-18T04:00:42.2157290Z + PARALLEL=0
2022-05-18T04:00:42.2158788Z + [[ 0 -gt 0 ]]
2022-05-18T04:00:42.2158972Z + set --
2022-05-18T04:00:42.2159203Z + [[ 0 == 1 ]]
2022-05-18T04:00:42.2159417Z + pip install pytest scipy hypothesis
2022-05-18T04:00:42.5227266Z Requirement already satisfied: pytest in /opt/conda/lib/python3.7/site-packages (7.1.2)
2022-05-18T04:00:42.5233032Z Requirement already satisfied: scipy in /opt/conda/lib/python3.7/site-packages (1.6.3)
2022-05-18T04:00:42.5240084Z Requirement already satisfied: hypothesis in /opt/conda/lib/python3.7/site-packages (3.44.6)
2022-05-18T04:00:42.5359392Z Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/lib/python3.7/site-packages (from pytest) (4.11.3)
2022-05-18T04:00:42.5364773Z Requirement already satisfied: packaging in /opt/conda/lib/python3.7/site-packages (from pytest) (21.3)
2022-05-18T04:00:42.5378567Z Requirement already satisfied: tomli>=1.0.0 in /opt/conda/lib/python3.7/site-packages (from pytest) (2.0.1)
2022-05-18T04:00:42.5386550Z Requirement already satisfied: attrs>=19.2.0 in /var/lib/jenkins/.local/lib/python3.7/site-packages (from pytest) (21.4.0)
2022-05-18T04:00:42.5526983Z Requirement already satisfied: iniconfig in /opt/conda/lib/python3.7/site-packages (from pytest) (1.1.1)
2022-05-18T04:00:42.5535916Z Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/lib/python3.7/site-packages (from pytest) (1.0.0)
2022-05-18T04:00:42.5544606Z Requirement already satisfied: py>=1.8.2 in /opt/conda/lib/python3.7/site-packages (from pytest) (1.11.0)
2022-05-18T04:00:42.5565845Z Requirement already satisfied: numpy<1.23.0,>=1.16.5 in /var/lib/jenkins/.local/lib/python3.7/site-packages (from scipy) (1.21.5)
2022-05-18T04:00:42.5703171Z Requirement already satisfied: coverage in /opt/conda/lib/python3.7/site-packages (from hypothesis) (4.5.1)
2022-05-18T04:00:42.6081523Z Requirement already satisfied: zipp>=0.5 in /opt/conda/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest) (3.8.0)
2022-05-18T04:00:42.6090147Z Requirement already satisfied: typing-extensions>=3.6.4 in /opt/conda/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest) (4.1.1)
2022-05-18T04:00:42.6297522Z Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /opt/conda/lib/python3.7/site-packages (from packaging->pytest) (3.0.9)
2022-05-18T04:00:42.9485824Z + pip install pytest-cov
2022-05-18T04:00:43.3196126Z Collecting pytest-cov
2022-05-18T04:00:43.3369107Z   Downloading pytest_cov-3.0.0-py3-none-any.whl (20 kB)
2022-05-18T04:00:43.3626873Z Requirement already satisfied: pytest>=4.6 in /opt/conda/lib/python3.7/site-packages (from pytest-cov) (7.1.2)
2022-05-18T04:00:43.8135825Z Collecting coverage[toml]>=5.2.1
2022-05-18T04:00:43.8223989Z   Downloading coverage-6.3.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (207 kB)
2022-05-18T04:00:43.8228003Z [?25l
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2022-05-18T04:00:43.8342169Z [?25hRequirement already satisfied: tomli in /opt/conda/lib/python3.7/site-packages (from coverage[toml]>=5.2.1->pytest-cov) (2.0.1)
2022-05-18T04:00:43.8460069Z Requirement already satisfied: py>=1.8.2 in /opt/conda/lib/python3.7/site-packages (from pytest>=4.6->pytest-cov) (1.11.0)
2022-05-18T04:00:43.8468207Z Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/lib/python3.7/site-packages (from pytest>=4.6->pytest-cov) (1.0.0)
2022-05-18T04:00:43.8474390Z Requirement already satisfied: iniconfig in /opt/conda/lib/python3.7/site-packages (from pytest>=4.6->pytest-cov) (1.1.1)
2022-05-18T04:00:43.8485256Z Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/lib/python3.7/site-packages (from pytest>=4.6->pytest-cov) (4.11.3)
2022-05-18T04:00:43.8492498Z Requirement already satisfied: attrs>=19.2.0 in /var/lib/jenkins/.local/lib/python3.7/site-packages (from pytest>=4.6->pytest-cov) (21.4.0)
2022-05-18T04:00:43.8502918Z Requirement already satisfied: packaging in /opt/conda/lib/python3.7/site-packages (from pytest>=4.6->pytest-cov) (21.3)
2022-05-18T04:00:43.8890412Z Requirement already satisfied: typing-extensions>=3.6.4 in /opt/conda/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest>=4.6->pytest-cov) (4.1.1)
2022-05-18T04:00:43.8897449Z Requirement already satisfied: zipp>=0.5 in /opt/conda/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest>=4.6->pytest-cov) (3.8.0)
2022-05-18T04:00:43.9106202Z Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /opt/conda/lib/python3.7/site-packages (from packaging->pytest>=4.6->pytest-cov) (3.0.9)
2022-05-18T04:00:44.2038314Z Installing collected packages: coverage, pytest-cov
2022-05-18T04:00:44.2038636Z   Attempting uninstall: coverage
2022-05-18T04:00:44.2043268Z     Found existing installation: coverage 4.5.1
2022-05-18T04:00:44.2131471Z     Uninstalling coverage-4.5.1:
2022-05-18T04:00:44.2153663Z       Successfully uninstalled coverage-4.5.1
2022-05-18T04:00:44.3244553Z Successfully installed coverage-6.3.3 pytest-cov-3.0.0
2022-05-18T04:00:44.3968460Z + pip install -e tools/coverage_plugins_package
2022-05-18T04:00:44.7082499Z Obtaining file:///var/lib/jenkins/workspace/tools/coverage_plugins_package
2022-05-18T04:00:47.4119614Z   Installing build dependencies ... [?25l- \ | done
2022-05-18T04:00:48.6073904Z [?25h  Getting requirements to build wheel ... [?25l- \ | done
2022-05-18T04:00:49.8739761Z [?25h    Preparing wheel metadata ... [?25l- \ | done
2022-05-18T04:00:50.2275443Z [?25hInstalling collected packages: coverage-plugins
2022-05-18T04:00:50.2282735Z   Running setup.py develop for coverage-plugins
2022-05-18T04:00:51.8762765Z Successfully installed coverage-plugins-0.0.1
2022-05-18T04:00:51.9593604Z ++ python -c 'import os; import sys; print(os.path.realpath(sys.argv[1]))' /var/lib/jenkins/workspace/scripts/onnx/test.sh
2022-05-18T04:00:51.9765238Z + script_path=/var/lib/jenkins/workspace/scripts/onnx/test.sh
2022-05-18T04:00:51.9773211Z ++++ dirname /var/lib/jenkins/workspace/scripts/onnx/test.sh
2022-05-18T04:00:51.9792643Z +++ dirname /var/lib/jenkins/workspace/scripts/onnx
2022-05-18T04:00:51.9802749Z ++ dirname /var/lib/jenkins/workspace/scripts
2022-05-18T04:00:51.9809819Z + top_dir=/var/lib/jenkins/workspace
2022-05-18T04:00:51.9810225Z + test_paths=("$top_dir/test/onnx")
2022-05-18T04:00:51.9810520Z + args=()
2022-05-18T04:00:51.9810845Z + args+=("-v")
2022-05-18T04:00:51.9811179Z + args+=("--cov")
2022-05-18T04:00:51.9811524Z + args+=("--cov-report")
2022-05-18T04:00:51.9811770Z + args+=("xml:test/coverage.xml")
2022-05-18T04:00:51.9812230Z + args+=("--cov-append")
2022-05-18T04:00:51.9812556Z + [[ 0 == 1 ]]
2022-05-18T04:00:51.9812843Z + [[ 1 == \1 ]]
2022-05-18T04:00:51.9815751Z + pytest -v --cov --cov-report xml:test/coverage.xml --cov-append --ignore /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py --ignore /var/lib/jenkins/workspace/test/onnx/test_custom_ops.py --ignore /var/lib/jenkins/workspace/test/onnx/test_models_onnxruntime.py --ignore /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py --ignore /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py --ignore /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_shape_inference.py --ignore /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime_cuda.py --ignore /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2_quantized.py /var/lib/jenkins/workspace/test/onnx
2022-05-18T04:00:52.2768198Z Test session starts (platform: linux, Python 3.7.13, pytest 7.1.2, pytest-sugar 0.9.4)
2022-05-18T04:00:52.2853781Z cachedir: .pytest_cache
2022-05-18T04:00:52.2854284Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-05-18T04:00:52.2854988Z plugins: sugar-0.9.4, hypothesis-3.44.6, cov-3.0.0
2022-05-18T04:00:59.8594558Z collecting ... [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T04:00:59.8595220Z [W init.h:137] Caffe2 GlobalInit should be run before any other API calls.
2022-05-18T04:01:07.5330207Z 
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2022-05-18T04:02:15.7946930Z  test/onnx/test_models.py::TestModels.test_densenet ✓              3% ▍         
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2022-05-18T04:02:15.8663763Z  test/onnx/test_pytorch_common.py::TestModels.test_embedding_sequential_1 ✓3% ▍         
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2022-05-18T04:02:15.8694011Z  test/onnx/test_pytorch_common.py::TestModels.test_embedding_sequential_2 ✓4% ▍         
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2022-05-18T04:02:15.8719815Z  test/onnx/test_pytorch_common.py::TestModels.test_fake_quant s    4% ▌         
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2022-05-18T04:03:27.9749307Z  test/onnx/test_pytorch_common.py::TestModels.test_inception ✓     5% ▋         
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2022-05-18T04:05:22.0442154Z   %output_1 : Float(*, 2, *, *, strides=[32, 16, 4, 1], requires_grad=1, device=cpu) = onnx::Conv[dilations=[1, 1], group=1, kernel_shape=[3, 3], pads=[0, 0, 0, 0], strides=[1, 1], onnx_name="Conv_0"](%input_1, %weight, %bias) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/conv.py:444:0
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2022-05-18T04:05:25.5191558Z  test/onnx/test_operators.py::TestOperators.test_unsqueeze ✓      90% █████████ WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:25.5195144Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:05:25.5878493Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:05:26.1752447Z  test/onnx/test_verify.py::TestVerify.test_result_different ✓    100% ██████████/opt/conda/lib/python3.7/site-packages/coverage/control.py:793: CoverageWarning: No data was collected. (no-data-collected)
2022-05-18T04:05:26.1753029Z   self._warn("No data was collected.", slug="no-data-collected")
2022-05-18T04:05:26.1807938Z WARNING: Failed to generate report: No data to report.
2022-05-18T04:05:26.1808225Z 
2022-05-18T04:05:26.1808994Z /opt/conda/lib/python3.7/site-packages/pytest_cov/plugin.py:294: CovReportWarning: Failed to generate report: No data to report.
2022-05-18T04:05:26.1809248Z 
2022-05-18T04:05:26.1809348Z   self.cov_controller.finish()
2022-05-18T04:05:26.1816419Z 
2022-05-18T04:05:26.1819155Z =============================== warnings summary ===============================
2022-05-18T04:05:26.1820421Z ../../../../opt/conda/lib/python3.7/site-packages/past/builtins/misc.py:45
2022-05-18T04:05:26.1821392Z   /opt/conda/lib/python3.7/site-packages/past/builtins/misc.py:45: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
2022-05-18T04:05:26.1822081Z     from imp import reload
2022-05-18T04:05:26.1822268Z 
2022-05-18T04:05:26.1823875Z ../.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:207
2022-05-18T04:05:26.1825086Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:207: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
2022-05-18T04:05:26.1825938Z     def resize(img, size, interpolation=Image.BILINEAR):
2022-05-18T04:05:26.1826166Z 
2022-05-18T04:05:26.1826563Z ../.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:280
2022-05-18T04:05:26.1827603Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:280: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
2022-05-18T04:05:26.1828448Z     def perspective(img, perspective_coeffs, interpolation=Image.BICUBIC, fill=None):
2022-05-18T04:05:26.1828828Z 
2022-05-18T04:05:26.1828960Z test/onnx/test_models.py: 22 warnings
2022-05-18T04:05:26.1829194Z test/onnx/test_operators.py: 1 warning
2022-05-18T04:05:26.1830542Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:56: UserWarning: You are exporting the model to ONNX while in training mode with 'train' parameter not specified. The model will default to inference mode export. If you wish to export a training amenable ONNX model, specify training=TrainingMode.TRAINING or training=TrainingMode.PRESERVE (to preserve the original model state) in torch.onnx.export().
2022-05-18T04:05:26.1831365Z     "You are exporting the model to ONNX while in training mode with "
2022-05-18T04:05:26.1831605Z 
2022-05-18T04:05:26.1833586Z test/onnx/test_models.py: 22 warnings
2022-05-18T04:05:26.1834072Z test/onnx/test_verify.py: 4 warnings
2022-05-18T04:05:26.1835268Z   /opt/conda/lib/python3.7/site-packages/caffe2/python/onnx/backend.py:884: UserWarning: ShapeInferenceWarning: utils module not found in ONNX version 1.11.0
2022-05-18T04:05:26.1836036Z     warnings.warn("ShapeInferenceWarning: utils module not found in ONNX version {}".format(onnx.__version__))
2022-05-18T04:05:26.1836393Z 
2022-05-18T04:05:26.1836552Z test/onnx/test_models.py: 22 warnings
2022-05-18T04:05:26.1836987Z test/onnx/test_verify.py: 4 warnings
2022-05-18T04:05:26.1837780Z   /opt/conda/lib/python3.7/site-packages/caffe2/python/onnx/backend.py:657: UserWarning: OptimizerWarning: optimizer module not found in ONNX version 1.11.0
2022-05-18T04:05:26.1838496Z     warnings.warn("OptimizerWarning: optimizer module not found in ONNX version {}".format(onnx.__version__))
2022-05-18T04:05:26.1838873Z 
2022-05-18T04:05:26.1839035Z test/onnx/test_models.py: 22 warnings
2022-05-18T04:05:26.1839410Z test/onnx/test_verify.py: 4 warnings
2022-05-18T04:05:26.1840269Z   /opt/conda/lib/python3.7/site-packages/caffe2/python/onnx/backend.py:891: UserWarning: OptimizerWarning: onnxoptimizer module not installed. init_model and pred_model models will not be splitted, which can cause a runtime error
2022-05-18T04:05:26.1840881Z     warnings.warn("OptimizerWarning: onnxoptimizer module not installed. "
2022-05-18T04:05:26.1841178Z 
2022-05-18T04:05:26.1841317Z test/onnx/test_models.py::TestModels::test_googlenet
2022-05-18T04:05:26.1842377Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/googlenet.py:79: FutureWarning: The default weight initialization of GoogleNet will be changed in future releases of torchvision. If you wish to keep the old behavior (which leads to long initialization times due to scipy/scipy#11299), please set init_weights=True.
2022-05-18T04:05:26.1843504Z     ' due to scipy/scipy#11299), please set init_weights=True.', FutureWarning)
2022-05-18T04:05:26.1843827Z 
2022-05-18T04:05:26.1844037Z test/onnx/test_models.py::TestModels::test_inception
2022-05-18T04:05:26.1845274Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/inception.py:82: FutureWarning: The default weight initialization of inception_v3 will be changed in future releases of torchvision. If you wish to keep the old behavior (which leads to long initialization times due to scipy/scipy#11299), please set init_weights=True.
2022-05-18T04:05:26.1845925Z     ' due to scipy/scipy#11299), please set init_weights=True.', FutureWarning)
2022-05-18T04:05:26.1846090Z 
2022-05-18T04:05:26.1846213Z test/onnx/test_models.py::TestModels::test_ops
2022-05-18T04:05:26.1846987Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:778: UserWarning: This model contains a squeeze operation on dimension 1. If the model is intended to be used with dynamic input shapes, please use opset version 11 to export the model.
2022-05-18T04:05:26.1847579Z     + "intended to be used with dynamic input shapes, please use opset version 11 to export the model."
2022-05-18T04:05:26.1847781Z 
2022-05-18T04:05:26.1847909Z test/onnx/test_models.py::TestModels::test_shufflenet
2022-05-18T04:05:26.1848911Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/shufflenetv2.py:23: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:05:26.1849577Z     channels_per_group = num_channels // groups
2022-05-18T04:05:26.1849725Z 
2022-05-18T04:05:26.1849858Z test/onnx/test_onnx_opset.py::TestONNXOpset::test_dropout
2022-05-18T04:05:26.1850626Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:75: UserWarning: You are exporting the model in training mode with onnx opset version 9. Opset versions lower than opset 12 will not be able to export nodes such as Dropout and BatchNorm correctly.
2022-05-18T04:05:26.1851232Z     GLOBALS.export_onnx_opset_version
2022-05-18T04:05:26.1851449Z 
2022-05-18T04:05:26.1851669Z test/onnx/test_onnx_opset.py::TestONNXOpset::test_dropout
2022-05-18T04:05:26.1852052Z test/onnx/test_onnx_opset.py::TestONNXOpset::test_grid_sample
2022-05-18T04:05:26.1852499Z test/onnx/test_operators.py::TestOperators::test_batchnorm_training
2022-05-18T04:05:26.1852901Z test/onnx/test_operators.py::TestOperators::test_dropout_training
2022-05-18T04:05:26.1853225Z test/onnx/test_operators.py::TestOperators::test_dropout_training_opset12
2022-05-18T04:05:26.1854462Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:438: UserWarning: It is recommended that constant folding be turned off ('do_constant_folding=False') when exporting the model in training-amenable mode, i.e. with 'training=TrainingMode.TRAIN' or 'training=TrainingMode.PRESERVE' (when model is in training mode). Otherwise, some learnable model parameters may not translate correctly in the exported ONNX model because constant folding mutates model parameters. Please consider turning off constant folding or setting the training=TrainingMode.EVAL.
2022-05-18T04:05:26.1855453Z     "It is recommended that constant folding be turned off ('do_constant_folding=False') "
2022-05-18T04:05:26.1855679Z 
2022-05-18T04:05:26.1855863Z test/onnx/test_onnx_opset.py::TestONNXOpset::test_dropout
2022-05-18T04:05:26.1856667Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:2295: UserWarning: Dropout is a training op and should not be exported in inference mode. For inference, make sure to call eval() on the model and to export it with param training=False.
2022-05-18T04:05:26.1857254Z     "Dropout is a training op and should not be exported in inference mode. "
2022-05-18T04:05:26.1857434Z 
2022-05-18T04:05:26.1857568Z test/onnx/test_onnx_opset.py::TestONNXOpset::test_dropout
2022-05-18T04:05:26.1858243Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:75: UserWarning: You are exporting the model in training mode with onnx opset version 10. Opset versions lower than opset 12 will not be able to export nodes such as Dropout and BatchNorm correctly.
2022-05-18T04:05:26.1858683Z     GLOBALS.export_onnx_opset_version
2022-05-18T04:05:26.1858825Z 
2022-05-18T04:05:26.1858965Z test/onnx/test_onnx_opset.py::TestONNXOpset::test_interpolate
2022-05-18T04:05:26.1859254Z test/onnx/test_onnx_opset.py::TestONNXOpset::test_slice
2022-05-18T04:05:26.1859905Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input x
2022-05-18T04:05:26.1860301Z     key
2022-05-18T04:05:26.1860400Z 
2022-05-18T04:05:26.1860539Z test/onnx/test_onnx_opset.py::TestONNXOpset::test_interpolate
2022-05-18T04:05:26.1860833Z test/onnx/test_onnx_opset.py::TestONNXOpset::test_upsample
2022-05-18T04:05:26.1861479Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:610: UserWarning: You are trying to export the model with onnx:Upsample for ONNX opset version 9. This operator might cause results to not match the expected results by PyTorch.
2022-05-18T04:05:26.1862459Z   ONNX's Upsample/Resize operator did not match Pytorch's Interpolation until opset 11. Attributes to determine how to transform the input were added in onnx:Resize in opset 11 to support Pytorch's behavior (like coordinate_transformation_mode and nearest_mode).
2022-05-18T04:05:26.1862969Z   We recommend using opset 11 and above for models using this operator.
2022-05-18T04:05:26.1863271Z     "" + str(GLOBALS.export_onnx_opset_version) + ". "
2022-05-18T04:05:26.1863427Z 
2022-05-18T04:05:26.1863555Z test/onnx/test_onnx_opset.py::TestONNXOpset::test_interpolate
2022-05-18T04:05:26.1864221Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:610: UserWarning: You are trying to export the model with onnx:Resize for ONNX opset version 10. This operator might cause results to not match the expected results by PyTorch.
2022-05-18T04:05:26.1865086Z   ONNX's Upsample/Resize operator did not match Pytorch's Interpolation until opset 11. Attributes to determine how to transform the input were added in onnx:Resize in opset 11 to support Pytorch's behavior (like coordinate_transformation_mode and nearest_mode).
2022-05-18T04:05:26.1865586Z   We recommend using opset 11 and above for models using this operator.
2022-05-18T04:05:26.1865881Z     "" + str(GLOBALS.export_onnx_opset_version) + ". "
2022-05-18T04:05:26.1866022Z 
2022-05-18T04:05:26.1866165Z test/onnx/test_onnx_opset.py::TestONNXOpset::test_interpolate
2022-05-18T04:05:26.1866956Z   /var/lib/jenkins/workspace/test/onnx/test_onnx_opset.py:461: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:05:26.1867458Z     size = [int(i) for i in size]
2022-05-18T04:05:26.1867585Z 
2022-05-18T04:05:26.1867721Z test/onnx/test_onnx_opset.py::TestONNXOpset::test_upsample
2022-05-18T04:05:26.1868483Z   /var/lib/jenkins/workspace/test/onnx/test_onnx_opset.py:176: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:05:26.1869046Z     size = [int(i) for i in size]
2022-05-18T04:05:26.1869174Z 
2022-05-18T04:05:26.1869310Z test/onnx/test_onnx_opset.py::TestONNXOpset::test_upsample
2022-05-18T04:05:26.1869971Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:610: UserWarning: You are trying to export the model with onnx:Upsample for ONNX opset version 8. This operator might cause results to not match the expected results by PyTorch.
2022-05-18T04:05:26.1870850Z   ONNX's Upsample/Resize operator did not match Pytorch's Interpolation until opset 11. Attributes to determine how to transform the input were added in onnx:Resize in opset 11 to support Pytorch's behavior (like coordinate_transformation_mode and nearest_mode).
2022-05-18T04:05:26.1871341Z   We recommend using opset 11 and above for models using this operator.
2022-05-18T04:05:26.1871631Z     "" + str(GLOBALS.export_onnx_opset_version) + ". "
2022-05-18T04:05:26.1871792Z 
2022-05-18T04:05:26.1871939Z test/onnx/test_operators.py::TestOperators::test_batchnorm_training
2022-05-18T04:05:26.1872791Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2352: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:05:26.1873282Z     if size_prods == 1:
2022-05-18T04:05:26.1873401Z 
2022-05-18T04:05:26.1873547Z test/onnx/test_operators.py::TestOperators::test_conv_onnx_irv4_opset8
2022-05-18T04:05:26.1874376Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:406: UserWarning: Setting 'keep_initializers_as_inputs=False' for opset version8 or lower would lead to an invalid ONNX graph. Therefore, 'keep_initializers_as_inputs=False' is ignored during export.Exported model will have initializers as graph inputs (compliant  to ONNX IR v3).
2022-05-18T04:05:26.1875008Z     "Setting 'keep_initializers_as_inputs=False' for opset version"
2022-05-18T04:05:26.1875178Z 
2022-05-18T04:05:26.1875316Z test/onnx/test_operators.py::TestOperators::test_conv_variable_length
2022-05-18T04:05:26.1875967Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input_1
2022-05-18T04:05:26.1876362Z     key
2022-05-18T04:05:26.1876460Z 
2022-05-18T04:05:26.1876602Z test/onnx/test_operators.py::TestOperators::test_dropout_default
2022-05-18T04:05:26.1877284Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:1139: UserWarning: ONNX export mode is set to inference mode, but operator dropout is set to training  mode. The operators will be exported in training , as specified by the functional operator.
2022-05-18T04:05:26.1877757Z     + ", as specified by the functional operator."
2022-05-18T04:05:26.1877913Z 
2022-05-18T04:05:26.1878056Z test/onnx/test_operators.py::TestOperators::test_dropout_default
2022-05-18T04:05:26.1878372Z test/onnx/test_operators.py::TestOperators::test_dropout_training
2022-05-18T04:05:26.1878679Z test/onnx/test_operators.py::TestOperators::test_dropout_training_opset12
2022-05-18T04:05:26.1879373Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset12.py:57: UserWarning: Dropout is a training op and should not be exported in inference mode. For inference, make sure to call eval() on the model and to export it with param training=False.
2022-05-18T04:05:26.1879866Z     "Dropout is a training op and should not be exported in inference mode. "
2022-05-18T04:05:26.1880044Z 
2022-05-18T04:05:26.1880196Z test/onnx/test_operators.py::TestOperators::test_lstm_none_sequence_lens
2022-05-18T04:05:26.1881002Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:204: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:05:26.1881615Z     if self.input_size != input.size(-1):
2022-05-18T04:05:26.1881753Z 
2022-05-18T04:05:26.1881904Z test/onnx/test_operators.py::TestOperators::test_lstm_none_sequence_lens
2022-05-18T04:05:26.1882708Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:225: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:05:26.1883403Z     if hx.size() != expected_hidden_size:
2022-05-18T04:05:26.1883541Z 
2022-05-18T04:05:26.1883681Z test/onnx/test_operators.py::TestOperators::test_lstm_none_sequence_lens
2022-05-18T04:05:26.1884611Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with LSTM can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:05:26.1885192Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:05:26.1885358Z 
2022-05-18T04:05:26.1885492Z test/onnx/test_operators.py::TestOperators::test_meshgrid
2022-05-18T04:05:26.1886192Z   /opt/conda/lib/python3.7/site-packages/torch/functional.py:478: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorShape.cpp:2904.)
2022-05-18T04:05:26.1886773Z     return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
2022-05-18T04:05:26.1886944Z 
2022-05-18T04:05:26.1887089Z test/onnx/test_operators.py::TestOperators::test_symbolic_mismatch
2022-05-18T04:05:26.1887990Z   /opt/conda/lib/python3.7/site-packages/torch/autograd/function.py:312: DeprecationWarning: <class 'test_operators.TestOperators.test_symbolic_mismatch.<locals>.MyFun'> should not be instantiated. Methods on autograd functionsare all static, so you should invoke them on the class itself. Instantiating an autograd function will raise an error in a future version of PyTorch.
2022-05-18T04:05:26.1888613Z     "error in a future version of PyTorch.", DeprecationWarning)
2022-05-18T04:05:26.1888781Z 
2022-05-18T04:05:26.1888900Z test/onnx/test_operators.py::TestOperators::test_topk
2022-05-18T04:05:26.1889673Z   /var/lib/jenkins/workspace/test/onnx/test_operators.py:987: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:05:26.1890226Z     self.assertONNX(lambda x, k: torch.topk(x, k), (x, k), opset_version=10)
2022-05-18T04:05:26.1890403Z 
2022-05-18T04:05:26.1890555Z test/onnx/test_operators.py::TestOperators::test_topk_smallest_unsorted
2022-05-18T04:05:26.1891338Z   /var/lib/jenkins/workspace/test/onnx/test_operators.py:993: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:05:26.1891868Z     lambda x, k: torch.topk(x, k, largest=False, sorted=False),
2022-05-18T04:05:26.1892029Z 
2022-05-18T04:05:26.1892167Z test/onnx/test_operators.py::TestOperators::test_view_flatten
2022-05-18T04:05:26.1893117Z   /var/lib/jenkins/workspace/test/onnx/test_operators.py:606: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:05:26.1893833Z     self.assertONNX(lambda x: x.view(x.size()[0], x.numel() // x.size()[0]), x)
2022-05-18T04:05:26.1894007Z 
2022-05-18T04:05:26.1894146Z test/onnx/test_verify.py::TestVerify::test_dynamic_model_structure
2022-05-18T04:05:26.1894447Z test/onnx/test_verify.py::TestVerify::test_embedded_constant_difference
2022-05-18T04:05:26.1894748Z test/onnx/test_verify.py::TestVerify::test_explicit_test_args
2022-05-18T04:05:26.1895037Z test/onnx/test_verify.py::TestVerify::test_result_different
2022-05-18T04:05:26.1895864Z   /opt/conda/lib/python3.7/site-packages/caffe2/python/onnx/backend.py:693: UserWarning: This version of onnx-caffe2 targets ONNX operator set version 9, but the model we are trying to import uses version 13.  We will try to import it anyway, but if the model uses operators which had BC-breaking changes in the intervening versions, import will fail.
2022-05-18T04:05:26.1896966Z     warnings.warn("This version of onnx-caffe2 targets ONNX operator set version {}, but the model we are trying to import uses version {}.  We will try to import it anyway, but if the model uses operators which had BC-breaking changes in the intervening versions, import will fail.".format(cls._known_opset_version, imp.version))
2022-05-18T04:05:26.1897381Z 
2022-05-18T04:05:26.1897517Z test/onnx/test_verify.py::TestVerify::test_explicit_test_args
2022-05-18T04:05:26.1898289Z   /var/lib/jenkins/workspace/test/onnx/test_verify.py:98: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:05:26.1898779Z     if x.data.sum() == 1.0:
2022-05-18T04:05:26.1898903Z 
2022-05-18T04:05:26.1899033Z test/onnx/test_verify.py::TestVerify::test_jumbled_params
2022-05-18T04:05:26.1899621Z   /var/lib/jenkins/workspace/test/onnx/test_verify.py:57: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:05:26.1900183Z     self.param = Parameter(torch.tensor([2.0]))
2022-05-18T04:05:26.1900331Z 
2022-05-18T04:05:26.1900462Z test/onnx/test_verify.py::TestVerify::test_result_different
2022-05-18T04:05:26.1901340Z   /opt/conda/lib/python3.7/site-packages/torch/autograd/function.py:312: DeprecationWarning: <class 'test_verify.TestVerify.test_result_different.<locals>.BrokenAdd'> should not be instantiated. Methods on autograd functionsare all static, so you should invoke them on the class itself. Instantiating an autograd function will raise an error in a future version of PyTorch.
2022-05-18T04:05:26.1902026Z     "error in a future version of PyTorch.", DeprecationWarning)
2022-05-18T04:05:26.1902196Z 
2022-05-18T04:05:26.1902442Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-05-18T04:05:26.1902641Z 
2022-05-18T04:05:26.1902853Z ---------- coverage: platform linux, python 3.7.13-final-0 -----------
2022-05-18T04:05:26.1903033Z 
2022-05-18T04:05:26.1903178Z =========================== short test summary info ============================
2022-05-18T04:05:26.1903485Z SKIPPED [2] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 9 < 11
2022-05-18T04:05:26.1903816Z SKIPPED [2] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 9 < 10
2022-05-18T04:05:26.1904153Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 9 < 13
2022-05-18T04:05:26.1904477Z SKIPPED [1] test/onnx/test_models.py:106: This model takes too much memory
2022-05-18T04:05:26.1904817Z SKIPPED [1] test/onnx/test_models.py:126: This model takes too much memory
2022-05-18T04:05:26.1905129Z SKIPPED [1] test/onnx/test_models.py:132: This model takes too much memory
2022-05-18T04:05:26.1905432Z SKIPPED [1] test/onnx/test_models.py:138: This model takes too much memory
2022-05-18T04:05:26.1905718Z SKIPPED [1] test/onnx/test_models.py:144: This model takes too much memory
2022-05-18T04:05:26.1906198Z SKIPPED [6] ../../../../opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:1081: Not compatible with Caffe2
2022-05-18T04:05:26.1906600Z SKIPPED [1] test/onnx/test_pytorch_helper.py:18: test broken because Lapack was always missing.
2022-05-18T04:05:26.1906798Z 
2022-05-18T04:05:26.1906873Z Results (273.91s):
2022-05-18T04:05:26.1907083Z      207 passed
2022-05-18T04:05:26.1907313Z       17 skipped
2022-05-18T04:05:26.4936452Z + pytest -v --cov --cov-report xml:test/coverage.xml --cov-append /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7 /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8 /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9 /var/lib/jenkins/workspace/test/onnx/test_custom_ops.py /var/lib/jenkins/workspace/test/onnx/test_models_onnxruntime.py /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2_quantized.py /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_shape_inference.py /var/lib/jenkins/workspace/test/onnx/test_onnx_export.py
2022-05-18T04:05:26.7478977Z Test session starts (platform: linux, Python 3.7.13, pytest 7.1.2, pytest-sugar 0.9.4)
2022-05-18T04:05:26.7564071Z cachedir: .pytest_cache
2022-05-18T04:05:26.7564540Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-05-18T04:05:26.7565093Z plugins: sugar-0.9.4, hypothesis-3.44.6, cov-3.0.0
2022-05-18T04:05:30.3031143Z collecting ... 
2022-05-18T04:05:30.3031329Z 
2022-05-18T04:05:30.3036771Z 
2022-05-18T04:05:30.3877106Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset7.test__dim_arange s0%           Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:05:30.4242662Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:05:30.4392564Z 
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2022-05-18T04:06:12.9514573Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:12.9523884Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:12.9524560Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:17.4081322Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:17.4081988Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:17.4088372Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:17.4089378Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:20.9396786Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:20.9484392Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:20.9627148Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:20.9628018Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:20.9628723Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:20.9631422Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:20.9638602Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:20.9639413Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:20.9680266Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:20.9681270Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:20.9682158Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:20.9686501Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:20.9694036Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:20.9695101Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.0033077Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.0033742Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.0039053Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.0041066Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.0672653Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.0763585Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.0907619Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.0908552Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.0909380Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.0912414Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.0919355Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.0920350Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.0960991Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.0961814Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.0962894Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.0967507Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.0973445Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.0974273Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.1311014Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.1311683Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.1317477Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.1318342Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.1461625Z 
2022-05-18T04:06:21.1461637Z 
2022-05-18T04:06:21.1467038Z 
2022-05-18T04:06:21.1996792Z  test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7.test_groupnorm ✓4% ▌         Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.2082055Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.2217274Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.2218694Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.2226575Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.2227543Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.2228174Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.2231693Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.2239349Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.2239970Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.2282246Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.2282873Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.2283940Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.2287506Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.2294769Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.2296239Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.2739173Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.2739877Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.2747488Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.2748468Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.2755673Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.2757285Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.3407958Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.3494220Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.3628972Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.3630077Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.3638419Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.3639036Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.3639996Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.3644389Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.3652305Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.3653126Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.3692060Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.3692735Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.3693533Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.3697166Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.3704851Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.3705670Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.4069761Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.4070539Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.4077775Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.4078687Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.4085781Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.4087639Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.4711244Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.4799289Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.4932889Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.4935329Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.4943323Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.4943946Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.4945318Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.4949578Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.4956553Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.4957334Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.4996534Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.4997176Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.4998144Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.5002086Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.5009954Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.5011830Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.5376744Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.5378984Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.5385010Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.5385996Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.5394466Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.5395199Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.5543796Z 
2022-05-18T04:06:21.5543812Z 
2022-05-18T04:06:21.5549264Z 
2022-05-18T04:06:21.7388587Z  test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7.test_groupnorm_noaffine ✓4% ▌         WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:21.7389500Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7390063Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7391303Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7393533Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7395057Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7396988Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7399128Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7400262Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7401838Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7404368Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7405732Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7407156Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7413318Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7414769Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7416369Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7418850Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7420472Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7422089Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7424918Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7426166Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7427520Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7429917Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7431399Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7432552Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7448062Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7449225Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7450754Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7453362Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7455000Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7456454Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7459011Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7460160Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7461573Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7463916Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7465089Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7466505Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7471791Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7473440Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7474440Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7476826Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7478299Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7479713Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7482274Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7484070Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7485568Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7487771Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7489348Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7490489Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7546979Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:21.7547802Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7548358Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7548886Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7550428Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7551102Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7551574Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7552617Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7553683Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7554180Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7555285Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7556064Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7556801Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7559529Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7560294Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7561057Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7561809Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7562574Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7563515Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7564241Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7565006Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7565789Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7566536Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7567288Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7568050Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7574243Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7574899Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7575412Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7576198Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7576944Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7577566Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7578677Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7579263Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7579789Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7580981Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7581497Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7582022Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7585417Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7585841Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7586540Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7587353Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7587951Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7588371Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7589921Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7590511Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7591228Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7592045Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7592804Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7593271Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7653305Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:21.7654036Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7654526Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7655157Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7656074Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7656860Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7657486Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7658110Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7658884Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7659433Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7660717Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7661372Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7661974Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7664722Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7665424Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7666111Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7667288Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7667841Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7668651Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7669833Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7670436Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7670873Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7671961Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7672480Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7673127Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7680157Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7680905Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7681515Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7682559Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7683419Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7684522Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7685224Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7685826Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7686335Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7687508Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7688122Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7688641Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7691410Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7692047Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7692698Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7693503Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7694444Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7694895Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7696626Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7697247Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7697678Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7698834Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7699360Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.7699987Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8100988Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:21.8218332Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:21.8219251Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8219998Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8220517Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8221729Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8222642Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8223500Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8226110Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8226664Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8227085Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8229842Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8230410Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8230843Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8233175Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8233899Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8234627Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8236278Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8237187Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8237980Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8239191Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8240063Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8240858Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8242319Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8242753Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8243490Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8252025Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8252862Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8253532Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8254376Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8255165Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8255956Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8256896Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8257659Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8258423Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8259960Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8260646Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8261338Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8265092Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8265915Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8266730Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8267813Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8268602Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8269455Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8270808Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8271574Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8272359Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8274097Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8274690Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8275451Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8287598Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:21.8288400Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8289489Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8290163Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8291715Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8292317Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8293133Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8295048Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8295689Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8296360Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8298283Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8298839Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8299401Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8303213Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8303907Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8304417Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8305475Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8306282Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8306812Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8308160Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8309172Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8309688Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8311273Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8312045Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8312505Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8320598Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8321216Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8321815Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8323931Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8324497Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8324927Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8327242Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8328290Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8329125Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8329907Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8330712Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8331514Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8335454Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8336047Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8336566Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8338018Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8338708Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8339265Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8341224Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8341850Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8342299Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8343381Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8344114Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:21.8344999Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0162184Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.0163393Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0164663Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0166656Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0169500Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0170975Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0172022Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0174618Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0176189Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0177536Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0180373Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0182133Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0183687Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0193426Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0194883Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0196418Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0199055Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0200401Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0201571Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0204945Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0206077Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0207630Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0210143Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0211611Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0213092Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0222777Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0224190Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0225705Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0228137Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0229589Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0231102Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0233707Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0235307Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0236861Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0239285Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0240769Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0242324Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0286809Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.0287638Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0288151Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0288658Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0290225Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0291035Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0291603Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0292451Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0292980Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0293518Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0295783Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0296628Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0297436Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0301820Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0302723Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0303506Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0304437Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0305170Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0305609Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0307689Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0308222Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0308662Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0309450Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0310139Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0310721Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0315251Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0315775Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0316355Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0317450Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0318001Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0318507Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0320148Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0320841Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0321314Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0322244Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0322841Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0323588Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0378621Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.0379419Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0379938Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0380359Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0381670Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0382366Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0382932Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0384930Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0385750Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0386358Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0387054Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0387836Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0388454Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0392246Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0392784Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0393603Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0394547Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0395229Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0395664Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0396829Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0397436Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0397871Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0399097Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0399873Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0400309Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0404544Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0405162Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0405778Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0407175Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0407719Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0408236Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0409596Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0410169Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0410636Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0411761Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0412324Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0413073Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0781345Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.0865669Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.0866784Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0867302Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0867782Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0868855Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0869398Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0870156Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0872503Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0873361Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0874165Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0874973Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0875981Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0876792Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0882347Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0883380Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0884149Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0885028Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0885831Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0886584Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0888188Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0888994Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0889545Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0890255Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0890930Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0891725Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0896332Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0896841Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0897621Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0898530Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0899759Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0900213Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0901114Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0901769Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0902638Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0905144Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0905987Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0906787Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0915914Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.0916934Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0917744Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0918553Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0919705Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0920649Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0921481Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0923620Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0924885Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0925906Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0926696Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0927497Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0928356Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0933916Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0934461Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0934907Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0936591Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0937139Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0937621Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0939565Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0940405Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0941446Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0942717Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0943649Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0944562Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0950328Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0951154Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0951968Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0952942Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0953731Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0954509Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0956207Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0956775Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0957767Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0959579Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0960512Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.0960961Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.1062995Z 
2022-05-18T04:06:22.1063003Z 
2022-05-18T04:06:22.1067877Z 
2022-05-18T04:06:22.2731058Z  test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7.test_gru_constant_folding ✓4% ▌         WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.2732309Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2733058Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2733807Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2737774Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2738848Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2740294Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2746082Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2747028Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2749087Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2752646Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2753770Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2771112Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2772031Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.2772879Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2773582Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2774275Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2776190Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2777613Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2779017Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2783497Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2784854Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2786322Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2789036Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2790287Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2791953Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2795325Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.2839216Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.2840038Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2840771Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2841194Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2842164Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2842692Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2843420Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2845584Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2846151Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2846656Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2847545Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2848722Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2849407Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2850579Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.2854605Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2855280Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2855812Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2856781Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2857653Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2858223Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2860444Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2861088Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2861524Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2862744Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2863544Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2864286Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2865956Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.2920644Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.2921672Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2922293Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2923121Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2923699Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2924172Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2924598Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2927639Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2928386Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2928932Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2929514Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2930200Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2930653Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2932019Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.2936102Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2936605Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2937423Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2938540Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2939183Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2939762Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2941275Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2942195Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2942704Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2943826Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2944331Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2945239Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.2946874Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.3290351Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.3310206Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.3343271Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.3361484Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.3362563Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3363553Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3364239Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3365118Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3365917Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3366780Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3369080Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3369688Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3370462Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3371424Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3372236Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3372982Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3374727Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.3379169Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3379624Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3380140Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3381644Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3383060Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3383570Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3385494Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3386011Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3386556Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3388214Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3389430Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3390083Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3391292Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.3398697Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.3399764Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3400393Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3400941Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3402662Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3403368Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3404019Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3406469Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3406960Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3407390Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3409153Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3409945Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3410708Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3412543Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.3416872Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3417675Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3418147Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3419610Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3420123Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3420948Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3423134Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3423654Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3424126Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3425916Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3426572Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3427138Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.3428380Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.5051931Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.5052959Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.5054465Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.5055743Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.5058477Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.5059867Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:22.5061264Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:06:22.5098926Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:06:22.5155332Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:06:22.5212255Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:06:22.5220413Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:06:22.5229373Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.5543348Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.5554020Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.5569995Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.5585382Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.5597352Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.5598446Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:06:22.5605212Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:06:22.5615118Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:06:22.5623908Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.5629096Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:22.5630068Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:06:22.5635460Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:06:22.5643676Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:06:22.5651251Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:06:38.0908752Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset7.test_lstm s7% ▊         
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2022-05-18T04:06:38.2951782Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset7.test_lstm_cell s7% ▊         WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:38.2952529Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.2953740Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.2955501Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.2958320Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.2959833Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.2961359Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.2964230Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.2965766Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.2967288Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.2969909Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.2971509Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.2973081Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.2979414Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.2980554Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.2982236Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.2985034Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.2986570Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.2988204Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.2990907Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.2992534Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.2994156Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.2996721Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.2999119Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.2999965Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3016795Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3018453Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3019881Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3022529Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3024182Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3025808Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3028722Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3029768Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3031289Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3033571Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3035092Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3036675Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3042322Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3044534Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3045659Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3048328Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3049931Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3051343Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3053719Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3055108Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3056510Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3058870Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3060307Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3061866Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3120097Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:38.3120950Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3121826Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3122424Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3123221Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3124235Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3124725Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3125869Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3126440Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3126895Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3128225Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3128861Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3129355Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3132063Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3132633Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3133128Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3134560Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3135503Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3135936Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3137003Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3137533Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3138295Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3140463Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3140933Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3141345Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3148368Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3148985Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3149414Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3150850Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3151364Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3152120Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3153305Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3153867Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3154598Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3155827Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3156521Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3157038Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3160092Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3160930Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3161724Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3162512Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3163505Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3164302Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3165441Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3166248Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3167046Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3168244Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3169020Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3169823Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3247025Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:38.3248048Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3248852Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3249823Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3250643Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3251428Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3252207Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3253336Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3254121Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3254916Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3256251Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3257053Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3257846Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3261320Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3262403Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3263279Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3264486Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3265044Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3265532Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3267749Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3268540Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3269198Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3270381Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3271143Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3271901Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3279010Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3279550Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3280127Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3281511Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3282455Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3283086Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3283991Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3284562Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3285313Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3287054Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3287459Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3288242Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3291688Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3292285Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3293022Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3293888Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3294518Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3294953Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3296530Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3297117Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3297617Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3299024Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3299756Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3300211Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3742030Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:38.3868378Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:38.3869204Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3869804Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3870226Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3871915Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3872706Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3873458Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3874925Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3875713Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3876427Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3877711Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3878478Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3879239Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3882333Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3883068Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3883799Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3885642Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3886426Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3887232Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3888288Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3889258Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3890059Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3891230Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3892353Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3893127Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3901337Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3901964Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3902419Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3904681Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3905541Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3906082Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3907111Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3907899Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3908689Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3909675Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3910499Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3911187Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3915054Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3915668Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3916098Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3917384Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3918018Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3918886Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3920650Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3921678Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3922182Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3924098Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3924674Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3925376Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3938236Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:38.3939127Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3939831Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3940355Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3942369Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3942913Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3943518Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3945060Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3945641Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3946571Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3948510Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3949137Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3949618Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3952839Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3953450Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3953880Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3955625Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3956227Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3956838Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3958876Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3959583Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3960534Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3962164Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3963484Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3964296Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3973681Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3974265Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3974766Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3976164Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3977116Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3977823Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3978871Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3979631Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3980407Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3981639Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3982600Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3983423Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3986908Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3987598Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3988167Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3990051Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3990565Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3991434Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3993294Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3993920Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3994585Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3996075Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3996846Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.3997439Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6003582Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:38.6004391Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6006104Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6007530Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6009961Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6011458Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6012652Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6015217Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6016766Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6018271Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6020710Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6022409Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6023932Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6034782Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6036403Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6037972Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6040601Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6042268Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6043865Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6046482Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6047967Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6049575Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6052202Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6053888Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6064047Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6066357Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6067836Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6069478Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6072006Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6073597Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6075080Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6077853Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6079264Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6080808Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6083431Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6085018Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6086614Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6134963Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:38.6135815Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6136569Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6137090Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6137732Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6138223Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6138716Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6140446Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6141442Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6141950Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6142797Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6143601Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6144370Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6149760Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6150581Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6151411Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6152218Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6153089Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6153528Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6154612Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6155269Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6155804Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6157709Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6158770Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6159477Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6164925Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6165734Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6166538Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6167607Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6168620Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6169411Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6170332Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6171141Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6172140Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6173339Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6174264Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6175071Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6249326Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:38.6250118Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6250552Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6250988Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6252804Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6253437Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6253849Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6256059Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6256816Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6257556Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6258364Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6259124Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6259929Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6265110Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6265745Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6266299Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6268263Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6269093Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6269864Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6270709Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6271480Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6272176Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6272960Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6273752Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6274530Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6279432Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6280024Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6280469Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6282428Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6283159Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6283659Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6285494Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6286842Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6287644Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6288449Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6289229Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6290041Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6698532Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:38.6786918Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:38.6788048Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6788866Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6789667Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6790475Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6791269Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6792086Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6793085Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6793881Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6794839Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6796540Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6797149Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6797803Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6803924Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6805282Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6806006Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6806694Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6807235Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6808202Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6809389Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6810180Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6810752Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6811724Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6812657Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6813268Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6818632Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6819263Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6819756Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6821294Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6821959Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6822678Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6824067Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6824710Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6825211Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6827151Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6827962Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6828544Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6838146Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:38.6839220Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6840286Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6841029Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6842708Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6843624Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6844250Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6845488Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6846140Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6846657Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6847991Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6848593Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6849541Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:38.6855329Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:06:48.4906359Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset7.test_resize_images s10% █         WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.4907855Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.4915064Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.4916230Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.4916851Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.4917511Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.4920781Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.4921613Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.4923117Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.4923802Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.5193803Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.5194846Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.5202622Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.5210075Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.5221553Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.5222407Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.5223084Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.5223733Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.5225485Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.5226325Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.5226952Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.5228568Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.5229551Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.5230198Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.5235897Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.5237072Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.5237676Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.5238324Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.5240721Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.5241349Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.5241973Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.5244678Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.5245598Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.5246274Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.5550233Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.5551260Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.5695363Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.5807063Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.5807857Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.5812090Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.5812869Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.5813662Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.5819228Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.5819974Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.5820608Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.6128564Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.6129707Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.6275522Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.6283310Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.6290918Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.6406521Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.6407438Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.6413982Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.6414790Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.6415610Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.6418137Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.6418937Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.6419761Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.6422247Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.6423368Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.6424181Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.6431384Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.6432058Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.6432529Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.6434481Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.6435217Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.6435682Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.6437073Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.6437844Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.6438448Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.6749736Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.6750371Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.6895207Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.7006686Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.7007485Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.7012587Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.7013031Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.7013492Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.7019054Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.7019550Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.7020098Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.7329821Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.7330394Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.7475437Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.7484509Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.7490802Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.7605049Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.7605599Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.7613158Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.7613615Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.7614074Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.7616115Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.7617057Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.7617564Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:48.7619793Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.7620222Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:48.7620695Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:06:48.7632665Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:06:51.6444552Z  test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7.test_symbolic_shape_inference ✓11% █▎        
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2022-05-18T04:06:53.4398297Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset7.test_transform_images s12% █▎        Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:06:53.4427219Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:06:53.4723571Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:06:53.4725787Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:06:53.4734616Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:06:53.4744401Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:53.4745165Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:53.4887886Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:53.4888462Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:53.4888889Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:53.4892174Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:53.4892658Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:53.4894008Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:53.4897117Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:53.4897726Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:53.4898860Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:53.4906864Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:53.4907784Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:53.4916738Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:53.4917411Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:53.4918338Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:53.5049017Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:53.5049613Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:53.5050038Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:06:55.5765799Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.5767315Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6077732Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.6078687Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6079329Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6079805Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6080328Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6080762Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6081315Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6082144Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6082810Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6083584Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6084745Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6085525Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6086266Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6090536Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6091083Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6091606Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6093409Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6094230Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6094803Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6095578Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6096426Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6097047Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6098365Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6099130Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6099896Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6104594Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6105220Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6105882Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6107153Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6107916Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6108673Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6109680Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6110446Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6111214Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6112030Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6112772Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6113554Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6117325Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6118170Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6118676Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6119846Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6120433Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6120914Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6122232Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6123096Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6123580Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6125357Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6125902Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6126396Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6131562Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6132092Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6132633Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6133692Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6134459Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6134970Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6137070Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6137697Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6138146Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6139704Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6140452Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6140868Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6234037Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.6234945Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6235620Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6236245Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6236802Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6237569Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6238098Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6238686Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6239654Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6240269Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6241015Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6241788Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6242764Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6246902Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6247816Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6248531Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6249342Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6250115Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6250887Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6251893Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6252520Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6253021Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6254132Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6254681Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6255232Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6260047Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6260552Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6261214Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6262735Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6263659Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6264160Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6265293Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6266080Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6266864Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6267852Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6268432Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6269196Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6273644Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6274128Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6274721Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6275449Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6276134Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6276856Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6278125Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6279179Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6280045Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6280844Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6281647Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6282448Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6287809Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6288610Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6289417Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6290232Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6291035Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6291823Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6293182Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6293982Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6294777Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6296221Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6297077Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6297561Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.6999645Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.7623297Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.7624430Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7625242Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7626022Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7626830Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7627627Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7628438Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7629220Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7630025Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7631110Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7632329Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7633078Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7634225Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7639933Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7640526Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7641023Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7642522Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7643455Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7644056Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7645673Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7646248Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7647107Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7648933Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7649680Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7650301Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7655572Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7656325Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7657020Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7659081Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7659847Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7660632Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7661650Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7662415Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7663249Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7664810Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7665720Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7666426Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7671610Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7672355Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7673280Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7674820Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7675522Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7676300Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7678155Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7678681Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7679695Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7681503Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7682144Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7682630Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7688145Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7688837Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7689565Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7691664Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7692140Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7692670Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7693820Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7694570Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7695008Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7696472Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7697245Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7697812Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7721848Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.7722764Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7723933Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7724914Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7726845Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7727785Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7728942Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7730701Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7731678Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7732644Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7734771Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7735392Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7735834Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7741436Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7742126Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7742660Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7744389Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7744980Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7745706Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7747283Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7747795Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7748523Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7750411Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7751194Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7751968Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7757020Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7757785Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7758481Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7760161Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7760923Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7761571Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7763579Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7764373Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7765072Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7767149Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7767709Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7768202Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7773366Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7774048Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7774701Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7776470Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7777073Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7777661Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7779522Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7780068Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7780715Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7781926Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7782465Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7783003Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7789219Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7789906Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7790689Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7791738Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7792507Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7793309Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7794643Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7795437Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7796207Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7797374Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7798013Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7798691Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.7997248Z 
2022-05-18T04:06:55.7997294Z 
2022-05-18T04:06:55.8002353Z 
2022-05-18T04:06:55.8591724Z  test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7.test_word_language_model_GRU ✓13% █▍        WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.9237430Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.9238316Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9238839Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9239334Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9240772Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9241833Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9242346Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9244480Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9245104Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9245530Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9247432Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9248037Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9248480Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9255477Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9255980Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9256893Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9257601Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9258287Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9258895Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9260740Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9261343Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9261970Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9264163Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9264637Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9265420Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9271140Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9271793Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9272385Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9273840Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9274779Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9275186Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9276840Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9277832Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9278678Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9280669Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9281467Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9282202Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9289188Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9289997Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9290788Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9291986Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9292960Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9294759Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9296679Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9297463Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9298232Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9299718Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9300842Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9301632Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9308767Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9309251Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9309916Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9312020Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9312574Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9313057Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9314167Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9314940Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9315589Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9317505Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9318284Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9319047Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9325564Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9326109Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9330072Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9330749Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9331358Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9338882Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.9339589Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9340768Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9341482Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9343323Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9343926Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9344821Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9346446Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9347155Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9347705Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9349652Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9350244Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9350770Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9356625Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9357281Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9357870Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9359787Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9360220Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9360789Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9362441Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9363271Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9363966Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9366262Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9366942Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9367720Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9373503Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9374219Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9375012Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9375763Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9376483Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9377649Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9378502Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9379334Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9380053Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9381458Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9382390Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9383196Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9389634Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9390143Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9390558Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9393171Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9393958Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9394623Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9395432Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9396216Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9396997Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9398334Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9399104Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9399950Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9405704Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9406676Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9407085Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9408759Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9409587Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9410098Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9411799Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9412549Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9413102Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9415421Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9415942Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9416638Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9423745Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9424175Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9428143Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9428785Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9429511Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:55.9599567Z 
2022-05-18T04:06:55.9599854Z 
2022-05-18T04:06:55.9605550Z 
2022-05-18T04:06:56.0134722Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset7.test_word_language_model_LSTM ✓13% █▍        WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.0660080Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.0660903Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0661491Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0662152Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0666452Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0667145Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0667651Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0671881Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0672538Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0673378Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0677814Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0678412Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0678925Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0682294Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0683558Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0684203Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0705594Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.0707270Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0707851Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0708606Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0712521Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0713366Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0714020Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0717163Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0718201Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0719036Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0723968Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0724534Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0724967Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0728262Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0729019Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0729596Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.0853340Z 
2022-05-18T04:06:56.0853347Z 
2022-05-18T04:06:56.0858717Z 
2022-05-18T04:06:56.1392028Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset7.test_word_language_model_RNN_RELU ✓13% █▍        WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.1915074Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.1916252Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1916855Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1917315Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1921182Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1922098Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1922632Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1926317Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1927252Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1927734Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1931943Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1932567Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1932997Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1937332Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1937835Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1938321Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1959136Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.1961210Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1962071Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1962515Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1966714Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1967330Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1968168Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1973374Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1973891Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1974312Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1977387Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1978343Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1978902Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1982370Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1983037Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.1983474Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:06:56.2106067Z 
2022-05-18T04:06:56.2106074Z 
2022-05-18T04:06:56.2111797Z 
2022-05-18T04:06:56.2134884Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset7.test_word_language_model_RNN_TANH ✓13% █▍        
2022-05-18T04:06:56.2135154Z 
2022-05-18T04:06:56.2338906Z 
2022-05-18T04:06:56.2361202Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset7.test_zeros_ones_with_tensor_input s13% █▍        
2022-05-18T04:06:56.2361486Z 
2022-05-18T04:06:56.2364841Z 
2022-05-18T04:06:56.2479541Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset8.test__dim_arange s13% █▍        Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:06:56.2632701Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:06:56.2774768Z 
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2022-05-18T04:07:08.5436713Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:07:08.5437677Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:07:08.5438804Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
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2022-05-18T04:07:08.8981817Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
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2022-05-18T04:07:37.2927271Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset8.test_glu s17% █▊        
2022-05-18T04:07:37.2927600Z 
2022-05-18T04:07:37.2931479Z 
2022-05-18T04:07:38.5561101Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset8.test_grid_sample s17% █▊        Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:38.5648045Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:38.5785914Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:38.5786568Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:38.5787283Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:38.5791049Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:38.5798081Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:38.5799000Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:38.7797653Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:38.7798539Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:38.7799149Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:38.7801086Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:38.7808696Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:38.7809917Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:42.7151667Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:42.7152609Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:42.7158761Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:42.7160462Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.2302560Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.2385345Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.2521672Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.2522343Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.2523082Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.2526421Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.2532919Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.2534002Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.2550341Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.2551136Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.2552024Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.2555726Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.2561985Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.2562819Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.2897980Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.2898642Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.2905011Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.2906345Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.3509620Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.3595300Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.3733902Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.3734561Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.3735174Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.3738843Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.3746313Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.3747152Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.3762471Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.3763420Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.3764815Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.3767995Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.3774424Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.3775467Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.4106389Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.4107220Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.4113456Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.4115952Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.4253046Z 
2022-05-18T04:07:46.4253058Z 
2022-05-18T04:07:46.4257538Z 
2022-05-18T04:07:46.4757560Z  test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8.test_groupnorm ✓17% █▊        Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.4839840Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.4968642Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.4969974Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.4977948Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.4978875Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.4981900Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.4984535Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.4992819Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.4993604Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.5016184Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.5016983Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.5018834Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.5021338Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.5029054Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.5030200Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.5502488Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.5503362Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.5511900Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.5512651Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.5520516Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.5521493Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.6146245Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.6231878Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.6363794Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.6365050Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.6373288Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.6374236Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.6375051Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.6378579Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.6385525Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.6386526Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.6402119Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.6402884Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.6403791Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.6407265Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.6414368Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.6415183Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.6769586Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.6770260Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.6777844Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.6779156Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.6786421Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.6787411Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.7373071Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.7458596Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.7590511Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.7591402Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.7599961Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.7601643Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.7602260Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.7605841Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.7612971Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.7613594Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.7630161Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.7630778Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.7633641Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.7634609Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.7642691Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.7644944Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.8011650Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.8012453Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.8020304Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.8020958Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.8028861Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.8029647Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.8176247Z 
2022-05-18T04:07:46.8176258Z 
2022-05-18T04:07:46.8180069Z 
2022-05-18T04:07:46.9744614Z  test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8.test_groupnorm_noaffine ✓17% █▊        WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:46.9745900Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9746666Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9747953Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9751865Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9753115Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9755453Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9758902Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9759982Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9761685Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9765569Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9767146Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9768114Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9775927Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9777113Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9778150Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9781356Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9782979Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9784163Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9786686Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9788718Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9789562Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9791827Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9792664Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9793863Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9809797Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9810959Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9812718Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9815333Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9817411Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9818248Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9820914Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9822552Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9824693Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9826897Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9828623Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9829864Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9835315Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9836754Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9837897Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9840645Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9841557Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9842680Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9845273Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9846378Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9847667Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9850075Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9851236Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9852463Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9908051Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:46.9908845Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9909482Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9910119Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9913255Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9913875Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9918257Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9918926Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9919561Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9920189Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9920790Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9921410Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9925461Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9926207Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9926835Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9927492Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9928136Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9928832Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:46.9929449Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0005453Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0006138Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0006970Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0007607Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0008221Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0008843Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0009463Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0010082Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0010700Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0011302Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0011912Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0012532Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0013196Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0013817Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0014428Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0015023Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0015637Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0016168Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0016595Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0017003Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0017432Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0017862Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0018275Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0018696Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0019118Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0019542Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0019948Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0020373Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0020800Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0021212Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0047924Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.0048775Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0049294Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0049855Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0050529Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0051043Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0051853Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0053909Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0054611Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0055185Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0055953Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0056666Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0057088Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0059293Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0060073Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0060665Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0062140Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0063057Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0063599Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0064246Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0064672Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0065126Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0066280Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0066830Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0067445Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0074377Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0074965Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0075520Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0077392Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0077826Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0078267Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0078924Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0079950Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0080430Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0081754Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0082534Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0083469Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0085753Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0086470Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0087255Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0088043Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0088796Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0089210Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0090318Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0090930Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0091631Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0092691Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0093158Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0093718Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0484376Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.0601893Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.0602889Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0603657Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0604104Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0606127Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0606649Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0607098Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0608244Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0609201Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0610041Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0611281Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0612057Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0612842Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0616471Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0617287Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0618088Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0619081Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0619975Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0620872Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0622733Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0623703Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0624291Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0626801Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0627301Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0627856Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0636657Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0637406Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0638104Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0638875Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0639505Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0639930Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0641395Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0642139Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0643178Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0645241Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0646102Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0646552Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0649644Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0650372Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0651102Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0653417Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0654249Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0654751Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0655523Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0656352Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0657156Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0658279Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0659072Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0659751Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0671986Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.0672988Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0673775Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0674516Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0675835Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0676737Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0677583Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0678899Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0679683Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0680497Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0681788Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0682581Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0683525Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0686440Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0687158Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0687588Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0689347Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0690328Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0691151Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0692452Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0693480Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0694290Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0696178Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0697169Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0698173Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0706897Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0707349Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0707919Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0709849Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0710342Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0710851Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0712625Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0714120Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0714767Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0715324Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0716203Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0716763Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0720328Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0720918Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0721451Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0723274Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0723896Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0724400Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0726065Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0726763Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0727373Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0729248Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0729798Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.0730545Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2295527Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.2296485Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2297050Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2297912Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2300812Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2302420Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2303940Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2306603Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2308160Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2309876Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2312373Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2314428Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2315715Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2325535Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2327039Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2328641Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2331421Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2332944Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2334283Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2336740Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2337890Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2339681Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2341740Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2343436Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2344622Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2353845Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2355400Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2356928Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2359290Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2360942Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2362372Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2364890Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2366226Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2367520Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2369920Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2371383Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2372718Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2416949Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.2418013Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2418833Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2419642Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2420425Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2421230Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2422026Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2422826Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2423868Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2424671Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2425468Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2426263Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2427035Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2431963Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2432616Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2433127Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2434212Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2434764Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2435237Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2436433Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2437193Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2437904Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2438930Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2439694Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2440457Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2444844Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2445665Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2446250Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2447000Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2447543Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2448131Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2449919Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2450437Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2451174Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2452455Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2452896Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2453306Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2508967Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.2509782Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2510356Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2510765Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2512304Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2512874Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2513655Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2514691Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2515332Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2515797Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2517456Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2518203Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2518730Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2523096Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2523888Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2524363Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2525171Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2525716Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2526664Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2527932Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2528747Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2529547Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2530819Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2531608Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2532412Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2537297Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2537747Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2538159Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2539253Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2539697Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2541003Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2541571Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2542287Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2542926Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2544610Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2545369Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2546018Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2894195Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.2974870Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.2975817Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2976545Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2977061Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2978227Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2979093Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2979994Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2981150Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2982132Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2982636Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2984035Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2984816Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2985580Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2990605Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2991060Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2991643Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2992665Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2993435Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2994110Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2995790Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2996419Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2997081Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2998112Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2998955Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.2999565Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3004756Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3005193Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3005854Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3007402Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3008168Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3008951Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3009877Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3010498Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3012155Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3012670Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3013420Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3013873Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3022842Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.3023524Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3024393Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3024868Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3026774Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3027420Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3027934Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3029248Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3030225Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3030660Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3032150Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3032911Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3033373Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3038283Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3038888Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3039375Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3040763Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3041363Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3041978Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3043542Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3044385Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3045108Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3046291Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3046863Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3047616Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3052469Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3053283Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3053858Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3055403Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3056165Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3056641Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3058152Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3058861Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3059353Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3061289Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3061882Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3062480Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.3164339Z 
2022-05-18T04:07:47.3164347Z 
2022-05-18T04:07:47.3169839Z 
2022-05-18T04:07:47.4579070Z  test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8.test_gru_constant_folding ✓17% █▊        WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.4580026Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4580625Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4581294Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4584292Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4585596Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4587587Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4592032Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4593647Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4595260Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4597899Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4599504Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4601011Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4604917Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.4615101Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4616323Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4618007Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4620755Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4622134Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4623672Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4628027Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4629514Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4631307Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4634023Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4635467Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4637146Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4640646Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.4683543Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.4684504Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4685421Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4686124Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4686752Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4687187Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4687624Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4689549Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4690129Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4690617Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4692634Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4693453Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4694005Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4694963Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.4699515Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4700112Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4700728Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4701423Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4702093Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4702536Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4704646Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4705383Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4706050Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4706786Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4707459Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4708055Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4709112Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.4763406Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.4764069Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4764497Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4764973Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4766046Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4766821Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4767585Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4768887Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4769677Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4770589Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4771373Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4772163Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4772948Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4774112Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.4778128Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4778621Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4779337Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4780507Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4781554Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4781977Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4784150Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4784656Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4785083Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4786172Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4786799Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4787424Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.4788993Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.5119637Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.5139927Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.5170002Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.5187868Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.5189219Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5190020Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5190527Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5192205Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5192689Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5193385Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5195650Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5196261Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5197242Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5198275Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5198945Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5199377Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5200877Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.5205736Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5206206Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5207942Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5208488Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5208909Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5209331Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5211290Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5212091Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5212804Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5213608Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5214471Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5215258Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5216863Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.5224799Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.5225694Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5226469Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5227214Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5228344Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5229108Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5229883Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5232444Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5233141Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5233753Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5234943Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5236523Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5249256Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5250123Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.5250669Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5251318Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5251903Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5252338Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5252766Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5253175Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5253728Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5254148Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5254552Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.5255153Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:07:47.5256537Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:07:47.6642796Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:07:47.6659923Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:07:47.6676749Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:07:47.6715996Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:07:47.6723830Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:07:47.6731079Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:07:47.6782645Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:07:47.6788038Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.6790149Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:07:47.6795219Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.6797760Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:07:47.6802554Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.7112715Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.7122146Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.7136999Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.7151583Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.7162803Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.7163836Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:07:47.7167255Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:07:47.7168330Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.7169797Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.7172992Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:07:47.7179031Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.7181417Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:07:47.7186240Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.7188262Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.7194604Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.7195620Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:07:47.7199954Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:07:47.7202055Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.7205724Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:07:47.7207355Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:07:47.7212082Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:47.7215537Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:07:47.7221742Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:08:02.7330578Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset8.test_lstm_cell s20% ██        WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:08:02.7496256Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:02.7497054Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:08:02.7536950Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:08:02.7538404Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.7539294Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:08:02.7540489Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.7542041Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.7542715Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.7543148Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.7618840Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:02.7619657Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:08:02.7625667Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:08:02.7627516Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.7628785Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:08:02.7632703Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:08:02.7634327Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:08:02.7641487Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.7642145Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.7643270Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:08:02.7651414Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:08:02.7653717Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.7654243Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.7654948Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:08:02.7656918Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:08:02.7662278Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:08:02.7665515Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.7666307Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:08:02.7667580Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.7668062Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.7668940Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.7670185Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.7671168Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.7671820Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8101128Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:02.8217774Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:02.8218659Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8219243Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8219712Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8220909Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8221799Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8222542Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8223873Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8224379Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8224875Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8226587Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8227671Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8228512Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8232401Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8233224Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8234023Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8235344Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8236130Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8237054Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8239051Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8239844Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8240812Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8242704Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8243707Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8245062Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8253885Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8254747Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8255543Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8256530Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8257585Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8258523Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8260495Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8261291Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8262119Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8263911Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8264641Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8265110Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8269235Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8269800Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8270244Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8271939Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8272473Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8273044Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8275052Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8275822Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8276573Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8277677Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8278444Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8279273Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8291770Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:02.8292715Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8293580Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8294099Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8296147Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8296771Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8297458Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8298488Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8299095Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8300513Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8301433Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8302175Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8302944Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8306230Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8306745Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8307275Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8308816Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8309545Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8310777Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8311511Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8312291Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8313028Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8313873Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8314715Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8315223Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8323691Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8324280Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8324699Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8326449Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8327117Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8327808Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8329621Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8330086Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8330545Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8331164Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8331959Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8332686Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8336118Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8336920Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8337458Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8338655Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8339393Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8339884Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8341629Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8342224Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8342745Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8344138Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8345404Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:02.8345850Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0049603Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:03.0050517Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0051285Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0052635Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0055646Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0057277Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0058714Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0061060Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0062487Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0063861Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0066441Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0067592Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0068878Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0079623Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0081095Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0082880Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0085928Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0087478Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0089135Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0091760Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0092979Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0094502Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0096892Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0098343Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0099670Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0110953Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0112467Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0114125Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0116820Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0118348Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0119952Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0122679Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0124392Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0126144Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0128962Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0130492Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0132129Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0178860Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:03.0179443Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0180414Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0180975Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0181990Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0182569Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0183354Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0185772Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0186326Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0186842Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0188000Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0188767Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0189196Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0193213Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0193869Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0194356Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0195346Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0196385Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0196813Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0197538Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0198176Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0198799Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0200006Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0200541Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0201074Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0206704Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0207153Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0207895Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0208838Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0209487Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0209981Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0211039Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0212161Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0213020Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0214398Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0215179Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0215975Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0289272Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:03.0290291Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0291092Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0291916Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0292718Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0293657Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0294448Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0295357Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0295970Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0296523Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0298869Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0299390Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0299824Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0305791Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0306385Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0306852Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0307621Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0308267Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0308969Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0310236Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0310929Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0311497Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0312642Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0313117Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0313748Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0318797Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0319353Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0320005Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0321452Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0322077Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0322873Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0323804Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0324688Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0325174Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0325971Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0326481Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0327412Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0729444Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:03.0815119Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:03.0816162Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0816938Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0817606Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0818651Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0819419Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0820146Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0821177Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0822232Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0822663Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0824502Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0825176Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0825875Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0830842Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0831396Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0832083Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0834287Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0834745Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0835182Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0836126Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0837024Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0837797Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0838868Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0839523Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:03.0840161Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:08:03.0865364Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:08:12.7119823Z  test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8.test_remainder ✓23% ██▍       
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2022-05-18T04:08:12.9367429Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset8.test_resize_images s23% ██▍       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:12.9368887Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:12.9375236Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:12.9376368Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:12.9377230Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:12.9378051Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:12.9381341Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:12.9382877Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:12.9383491Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:12.9384195Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:12.9640134Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:12.9642808Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:12.9649532Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:12.9656158Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:12.9665518Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:12.9666861Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:12.9667965Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:12.9668831Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:12.9670999Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:12.9671969Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:12.9672814Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:12.9675000Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:12.9675983Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:12.9676831Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:12.9682666Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:12.9684118Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:12.9684903Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:12.9685751Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:12.9687148Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:12.9688065Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:12.9688724Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:12.9691772Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:12.9692775Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:12.9693642Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:12.9994131Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:12.9995235Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:13.0135646Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:13.0244576Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:13.0245591Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:13.0250226Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:13.0251197Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:13.0251976Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:13.0258041Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:13.0258865Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:13.0259607Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:13.0563395Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:13.0564515Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:13.0705309Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:13.0712640Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:13.0720242Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:13.0831985Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:13.0833036Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:13.0839215Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:13.0839703Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:13.0840181Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:13.0843178Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:13.0843802Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:13.0844322Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:13.0845650Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:13.0846402Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:13.0846883Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:13.0854068Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:13.0854591Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:13.0855060Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:13.0857737Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:13.0858257Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:13.0858717Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:13.0860548Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:08:13.1436787Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:08:13.2012102Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:08:13.2022714Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:08:13.2026696Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:08:13.2031387Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:08:13.2048412Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:08:19.7861036Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7863797Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7865167Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7866847Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7869665Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7870630Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7872668Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7875373Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7876343Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7878397Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7888143Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7889787Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7891241Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7894010Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7895531Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7897003Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7900356Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7901111Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7902992Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7905910Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7907072Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7908797Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7918209Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7919691Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7921186Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7924057Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7925490Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7927096Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7929696Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7931249Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7932956Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7935323Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7936847Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7938367Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7948078Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7949661Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7951226Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7953852Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7955419Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7957003Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7959601Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7961155Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7962693Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7965426Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7966921Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.7968461Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8267924Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:19.8268789Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8269422Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8269982Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8270506Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8271159Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8280581Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8281546Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8282224Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8283282Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8283782Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8284406Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8284931Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8285508Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8286142Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8286679Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8287454Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8288179Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8288931Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8289467Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8289896Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8290305Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8290731Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8291146Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8291568Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8292323Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8293087Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8293865Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8294698Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8295447Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8296218Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8297159Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8298142Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8298666Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8299812Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8300342Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8300831Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8305819Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8306398Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8306856Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8308141Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8308797Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8309272Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8310328Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8310985Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8311561Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8312855Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8313465Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8314076Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8318341Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8319092Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8319864Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8320571Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8321551Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8322145Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8323524Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8324277Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8324975Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8325688Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8326457Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8327207Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8367350Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:19.8368128Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8368826Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8369542Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8370388Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8371125Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8371810Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8372734Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8373485Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8374234Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8375068Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8375562Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8376109Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8380327Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8381093Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8381850Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8382610Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8383214Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8383718Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8385160Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8385591Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8386260Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8387551Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8388050Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8388717Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8393087Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8393626Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8394174Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8395267Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8396441Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8397319Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8398079Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8398609Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8399534Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8401119Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8401904Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8402710Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8407931Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8408470Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8409055Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8410210Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8410984Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8411741Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8412626Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8413379Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8414154Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8415484Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8416239Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8416839Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8420929Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8421678Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8422338Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8423353Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8423998Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8424450Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8425639Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8426344Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8426915Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8428477Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8429043Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.8429557Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9110550Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:19.9714545Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:19.9715717Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9716176Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9716597Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9717587Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9718482Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9718975Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9720813Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9721320Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9722331Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9724243Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9724868Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9725282Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9731367Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9731947Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9732448Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9733837Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9734501Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9735116Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9736648Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9737172Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9737641Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9739035Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9739610Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9740018Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9745891Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9746481Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9747073Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9748216Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9748897Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9749746Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9751453Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9751999Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9752613Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9754096Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9754798Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9755472Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9760998Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9761576Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9762122Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9763638Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9764416Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9765209Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9766571Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9767336Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9768060Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9769020Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9770116Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9770883Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9775810Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9776534Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9777281Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9778350Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9779141Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9779883Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9781328Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9782033Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9782753Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9784300Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9785059Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9785801Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9809119Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:19.9809929Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9810642Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9811620Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9813355Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9813941Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9814558Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9816748Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9817276Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9818147Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9819244Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9819869Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9820518Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9826098Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9826694Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9827366Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9828919Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9829412Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9830068Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9832118Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9832891Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9833535Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9834544Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9835310Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9836114Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9841399Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9841975Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9842475Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9844427Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9845195Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9845917Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9846670Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9847380Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9848153Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9849641Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9850259Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9851098Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9856500Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9857257Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9857953Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9859751Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9860498Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9861548Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9863715Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9864484Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9865244Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9866145Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9867026Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9867796Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9872775Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9873433Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9874051Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9875564Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9876216Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9876938Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9878724Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9879462Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9880002Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9881906Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9882334Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:19.9882872Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.0076585Z 
2022-05-18T04:08:20.0076595Z 
2022-05-18T04:08:20.0082627Z 
2022-05-18T04:08:20.0653409Z  test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8.test_word_language_model_GRU ✓25% ██▌       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:20.1264194Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:20.1265191Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1265632Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1267909Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1268327Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1268990Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1269645Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1270435Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1270911Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1271386Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1272685Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1273440Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1274190Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1280233Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1281015Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1281784Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1283373Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1284391Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1284923Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1286984Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1287712Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1288208Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1290070Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1290741Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1291154Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1298011Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1298672Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1299443Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1300744Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1301312Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1302179Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1303417Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1304286Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1305056Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1306996Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1307713Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1308139Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1314072Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1314530Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1315311Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1316530Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1317312Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1318129Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1319688Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1320138Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1320885Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1323316Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1323844Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1324582Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1330210Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1331156Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1331604Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1333455Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1334211Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1334715Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1336000Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1336746Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1337700Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1339224Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1339968Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1340817Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1347413Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1347981Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1352030Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1352575Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1353236Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1360552Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:20.1361226Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1362087Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1363148Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1364859Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1365543Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1366126Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1368625Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1369453Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1370261Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1371871Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1372681Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1373660Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1380571Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1381394Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1382188Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1383642Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1384780Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1385703Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1387575Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1388485Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1389400Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1391506Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1392442Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1393223Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1400017Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1400608Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1401045Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1402805Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1403851Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1404681Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1405765Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1406470Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1407232Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1409905Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1410432Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1410961Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1416940Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1418020Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1418505Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1420341Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1420865Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1421773Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1423454Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1424154Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1424934Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1426570Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1427081Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1427850Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1434419Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1434887Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1435314Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1436873Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1437651Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1438182Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1440090Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1440580Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1441201Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1442768Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1443487Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1444227Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1450875Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1451657Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1455141Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1455812Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1456727Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.1628849Z 
2022-05-18T04:08:20.1629045Z 
2022-05-18T04:08:20.1632952Z 
2022-05-18T04:08:20.2152713Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset8.test_word_language_model_LSTM ✓25% ██▌       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:20.2650046Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:20.2651409Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2652262Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2653027Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2657689Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2658516Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2659318Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2663317Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2664239Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2664896Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2668374Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2669248Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2669684Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2673068Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2673624Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2674374Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2694889Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:20.2696803Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2697772Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2698196Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2701956Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2702709Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2703699Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2707566Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2708300Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2708950Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2713344Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2713910Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2714440Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2718207Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2718761Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2719346Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:08:20.2841726Z 
2022-05-18T04:08:20.2841734Z 
2022-05-18T04:08:20.2847441Z 
2022-05-18T04:08:20.3366233Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset8.test_word_language_model_RNN_RELU ✓25% ██▌       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:20.3865300Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:08:20.3866399Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:09:01.4768613Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:01.5069957Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:01.5070708Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:01.5235621Z 
2022-05-18T04:09:01.5235990Z 
2022-05-18T04:09:01.5240280Z 
2022-05-18T04:09:01.5596508Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout ✓27% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:01.5597319Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:01.5894906Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:01.5895464Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:01.6375914Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:01.6376482Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:01.6673585Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:01.6674134Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:01.6841443Z 
2022-05-18T04:09:01.6841682Z 
2022-05-18T04:09:01.6846729Z 
2022-05-18T04:09:01.7354075Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout ✓27% ██▊       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:01.7420784Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:01.7474059Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:01.8035322Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:01.8103061Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:01.8156550Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:01.8247999Z 
2022-05-18T04:09:01.8248009Z 
2022-05-18T04:09:01.8252345Z 
2022-05-18T04:09:01.8753308Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout ✓27% ██▊       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:01.8822593Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:01.8876137Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:01.9435910Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:01.9502428Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:01.9556780Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:01.9648116Z 
2022-05-18T04:09:01.9648122Z 
2022-05-18T04:09:01.9653189Z 
2022-05-18T04:09:02.0004885Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout ✓27% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.0005768Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.0282892Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.0283717Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.0719377Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.0719954Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.1000471Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.1001142Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.1120901Z 
2022-05-18T04:09:02.1120911Z 
2022-05-18T04:09:02.1125910Z 
2022-05-18T04:09:02.1480274Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout ✓27% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.1481081Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.1759743Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.1760410Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.2196620Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.2197300Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.2477014Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.2477745Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.2595868Z 
2022-05-18T04:09:02.2595878Z 
2022-05-18T04:09:02.2600713Z 
2022-05-18T04:09:02.2951996Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout ✓27% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.2952802Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.3230190Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.3230924Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.3657144Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.3657885Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.3940840Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.3941410Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.4053408Z 
2022-05-18T04:09:02.4053631Z 
2022-05-18T04:09:02.4058144Z 
2022-05-18T04:09:02.4407571Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout ✓27% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.4408360Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.4693094Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.4693656Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.5119709Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.5120277Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.5403957Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.5404506Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.5518146Z 
2022-05-18T04:09:02.5518387Z 
2022-05-18T04:09:02.5523115Z 
2022-05-18T04:09:02.5838640Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout ✓27% ██▊       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.5901514Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.5939370Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.6274002Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.6335804Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.6373623Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.6433433Z 
2022-05-18T04:09:02.6433443Z 
2022-05-18T04:09:02.6438507Z 
2022-05-18T04:09:02.6745731Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout ✓27% ██▊       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.6807958Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.6845278Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.7182111Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.7244255Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.7281992Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.7342190Z 
2022-05-18T04:09:02.7342197Z 
2022-05-18T04:09:02.7347189Z 
2022-05-18T04:09:02.7661916Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout ✓27% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.7662721Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.7922526Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.7923410Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.8336973Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.8337539Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.8598315Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.8598865Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.8729349Z 
2022-05-18T04:09:02.8729358Z 
2022-05-18T04:09:02.8734666Z 
2022-05-18T04:09:02.9046474Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.9047255Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.9307613Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.9308181Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.9721498Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.9722061Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.9982653Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:02.9983186Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.0111299Z 
2022-05-18T04:09:03.0111305Z 
2022-05-18T04:09:03.0116624Z 
2022-05-18T04:09:03.0427573Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.0428374Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.0692315Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.0692894Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.1092834Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.1093398Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.1353391Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.1353928Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.1476926Z 
2022-05-18T04:09:03.1476941Z 
2022-05-18T04:09:03.1482462Z 
2022-05-18T04:09:03.1795625Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.1796419Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.2055703Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.2056263Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.2458739Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.2459319Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.2725176Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.2725721Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.2847534Z 
2022-05-18T04:09:03.2847545Z 
2022-05-18T04:09:03.2852942Z 
2022-05-18T04:09:03.3308208Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout ✓28% ██▊       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.3339031Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.3369056Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.3872267Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.3904726Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.3935030Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.4013945Z 
2022-05-18T04:09:03.4014206Z 
2022-05-18T04:09:03.4019515Z 
2022-05-18T04:09:03.4477869Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout ✓28% ██▊       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.4509686Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.4539852Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.5043788Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.5075909Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.5106018Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.5185147Z 
2022-05-18T04:09:03.5185324Z 
2022-05-18T04:09:03.5190413Z 
2022-05-18T04:09:03.5496843Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.5497619Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.5738611Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.5739181Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.6092815Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.6093384Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.6335172Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.6335723Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:03.6733747Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.6734513Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.6977890Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.6978432Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.7342522Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.7343082Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.7584610Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.7585165Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:03.7974763Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.7975557Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.8217276Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.8217840Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.8569151Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.8569738Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.8811309Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.8811892Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:03.9202310Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.9203273Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.9443631Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.9444359Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.9793804Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:03.9794504Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.0037733Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.0038491Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.0115763Z 
2022-05-18T04:09:04.0115871Z 
2022-05-18T04:09:04.0120772Z 
2022-05-18T04:09:04.0389335Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout ✓28% ██▊       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.0416295Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.0433559Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.0717544Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.0746620Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.0762750Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.0812492Z 
2022-05-18T04:09:04.0812500Z 
2022-05-18T04:09:04.0817609Z 
2022-05-18T04:09:04.1083710Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout ✓28% ██▊       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.1110730Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.1128039Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.1414881Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.1442707Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.1459983Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.1509157Z 
2022-05-18T04:09:04.1509166Z 
2022-05-18T04:09:04.1514390Z 
2022-05-18T04:09:04.1811929Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.1812717Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.2063202Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.2063980Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.2407901Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.2408599Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.2658537Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.2659233Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.2736243Z 
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2022-05-18T04:09:04.3038687Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.3288635Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.3289370Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.3289905Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.3632711Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.3633375Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.3882824Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.3883703Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.3960928Z 
2022-05-18T04:09:04.3960934Z 
2022-05-18T04:09:04.3966621Z 
2022-05-18T04:09:04.4267660Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.4269190Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.4519872Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.4520867Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.4858441Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.4859523Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.5111344Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.5112330Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.5183715Z 
2022-05-18T04:09:04.5183731Z 
2022-05-18T04:09:04.5189204Z 
2022-05-18T04:09:04.5485403Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.5486940Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.5736487Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.5737444Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.6076572Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.6077651Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.6329224Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.6330226Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.6402760Z 
2022-05-18T04:09:04.6402775Z 
2022-05-18T04:09:04.6408188Z 
2022-05-18T04:09:04.6852345Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout ✓28% ██▊       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.6874079Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.6892229Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.7349032Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.7371608Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.7389697Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.7435040Z 
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2022-05-18T04:09:04.7440258Z 
2022-05-18T04:09:04.7884719Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout ✓28% ██▊       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.7905388Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.7923614Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.8380425Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.8404226Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.8421969Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.8466348Z 
2022-05-18T04:09:04.8466564Z 
2022-05-18T04:09:04.8471732Z 
2022-05-18T04:09:04.8760976Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.8761777Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.8993635Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.8994203Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.9316594Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.9317166Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.9550318Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.9550869Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.9611790Z 
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2022-05-18T04:09:04.9617242Z 
2022-05-18T04:09:04.9909336Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:04.9910838Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.0142571Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.0143685Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.0464569Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.0465686Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.0699054Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.0700092Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.0758986Z 
2022-05-18T04:09:05.0759001Z 
2022-05-18T04:09:05.0764500Z 
2022-05-18T04:09:05.1054217Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.1055742Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.1287710Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.1288747Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.1601852Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.1603182Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.1836381Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.1837406Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:05.2187844Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.2188653Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.2418814Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.2733745Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.2734619Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.2735166Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.2975248Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.2975959Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:05.3288096Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout ✓28% ██▊       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.3306801Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.3319587Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.3572899Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.3592883Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.3606117Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:05.3895400Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout ✓28% ██▊       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.3915187Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.3928720Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.4195606Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.4216338Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.4229841Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:05.4557225Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.4558734Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.4799159Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.4800102Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.5124524Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.5125603Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.5366581Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.5367612Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:05.5727335Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.5728829Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.5969455Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.5970407Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.6296336Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.6297416Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.6538435Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.6607565Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.6608089Z 
2022-05-18T04:09:05.6608111Z 
2022-05-18T04:09:05.6612724Z 
2022-05-18T04:09:05.6895584Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.6897111Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.7135021Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.7136006Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.7450878Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.7694417Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.7695439Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.7696440Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.7758612Z 
2022-05-18T04:09:05.7758833Z 
2022-05-18T04:09:05.7763853Z 
2022-05-18T04:09:05.8047732Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.8048532Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.8292355Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.8293164Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.8607318Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.8607964Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.8847369Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.8848066Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:05.9347771Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout ✓28% ██▊       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.9356986Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.9369833Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.9807914Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.9818289Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.9831463Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.9874894Z 
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2022-05-18T04:09:05.9879812Z 
2022-05-18T04:09:06.0306209Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout ✓28% ██▊       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.0316095Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.0329357Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.0768704Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.0779350Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.0790822Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.0834691Z 
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2022-05-18T04:09:06.1114846Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.1115637Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.1335729Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.1336316Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.1631072Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.1631678Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.1857582Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.1858148Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.1907667Z 
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2022-05-18T04:09:06.2193152Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.2193944Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.2414168Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.2712945Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.2713654Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.2714206Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.2935565Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.2936238Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.2989633Z 
2022-05-18T04:09:06.2989641Z 
2022-05-18T04:09:06.2994267Z 
2022-05-18T04:09:06.3271193Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.3272257Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.3492680Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.3493430Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.3788170Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.3788743Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.4009950Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.4010608Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.4056490Z 
2022-05-18T04:09:06.4056499Z 
2022-05-18T04:09:06.4060955Z 
2022-05-18T04:09:06.4337571Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.4338370Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.4559187Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.4559916Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.4852873Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.4853537Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.5076330Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.5077161Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.5121334Z 
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2022-05-18T04:09:06.5366788Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout ✓28% ██▊       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.5374490Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.5381483Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.5621997Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.5631604Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.5638390Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.5668686Z 
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2022-05-18T04:09:06.5673940Z 
2022-05-18T04:09:06.5917845Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout ✓28% ██▊       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.5925614Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.5932770Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.6174637Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.6183574Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.6190835Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.6220584Z 
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2022-05-18T04:09:06.6581108Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.6581885Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.6879686Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.6880280Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.7368897Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.7369453Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.7664442Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.7664986Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:06.8196869Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.8197705Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.8492703Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.8493335Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.8982387Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.8983060Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.9278140Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.9278862Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:06.9809373Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.9810166Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.0104424Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.0105117Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.0583703Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.0584357Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.0878269Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.0878818Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.1046028Z 
2022-05-18T04:09:07.1046039Z 
2022-05-18T04:09:07.1050633Z 
2022-05-18T04:09:07.1409586Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.1410424Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.1704682Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.1705350Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.2186325Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.2186975Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.2486324Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.2487030Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.2649522Z 
2022-05-18T04:09:07.2649658Z 
2022-05-18T04:09:07.2654370Z 
2022-05-18T04:09:07.3165060Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout ✓28% ██▊       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.3231664Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.3290583Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.3848054Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.3916799Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.3976204Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.4066545Z 
2022-05-18T04:09:07.4066737Z 
2022-05-18T04:09:07.4071257Z 
2022-05-18T04:09:07.4571017Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout ✓28% ██▊       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.4637373Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.4696756Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.5253990Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.5321775Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.5375352Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.5465648Z 
2022-05-18T04:09:07.5465660Z 
2022-05-18T04:09:07.5470504Z 
2022-05-18T04:09:07.5820040Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.5820849Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.6096694Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.6097254Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.6530178Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.6530757Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.6809784Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.6810338Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.6928294Z 
2022-05-18T04:09:07.6928303Z 
2022-05-18T04:09:07.6933047Z 
2022-05-18T04:09:07.7282858Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.7284133Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.7559741Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.7560312Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.7993742Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.7994302Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.8271533Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.8272151Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.8391258Z 
2022-05-18T04:09:07.8391467Z 
2022-05-18T04:09:07.8395963Z 
2022-05-18T04:09:07.8749739Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.8750544Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.9034063Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.9034633Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.9459121Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.9459673Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.9739559Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.9740115Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.9854057Z 
2022-05-18T04:09:07.9854067Z 
2022-05-18T04:09:07.9859369Z 
2022-05-18T04:09:08.0213190Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout ✓28% ██▊       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.0215034Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.0491977Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.0493018Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.0915802Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.0916906Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.1195858Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.1196908Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.1310868Z 
2022-05-18T04:09:08.1310883Z 
2022-05-18T04:09:08.1316325Z 
2022-05-18T04:09:08.1627883Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout ✓28% ██▉       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.1690857Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.1729493Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.2065111Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.2128766Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.2167343Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.2227988Z 
2022-05-18T04:09:08.2228185Z 
2022-05-18T04:09:08.2233746Z 
2022-05-18T04:09:08.2540775Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout ✓28% ██▉       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.2602366Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.2640892Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.2974342Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.3038009Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.3076667Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.3138395Z 
2022-05-18T04:09:08.3138408Z 
2022-05-18T04:09:08.3143733Z 
2022-05-18T04:09:08.3454771Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout ✓28% ██▉       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.3456279Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.3714797Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.3715765Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.4126572Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.4127670Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.4387377Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.4388365Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.4518268Z 
2022-05-18T04:09:08.4518282Z 
2022-05-18T04:09:08.4523750Z 
2022-05-18T04:09:08.4836763Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout ✓28% ██▉       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.4838257Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.5100133Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.5101148Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.5507865Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.5508954Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.5769421Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.5770428Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.5899976Z 
2022-05-18T04:09:08.5899989Z 
2022-05-18T04:09:08.5905434Z 
2022-05-18T04:09:08.6216588Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout ✓28% ██▉       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.6218110Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.6476669Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.6477706Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.6873217Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.6874295Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.7132425Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.7133495Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.7254947Z 
2022-05-18T04:09:08.7254959Z 
2022-05-18T04:09:08.7260314Z 
2022-05-18T04:09:08.7569369Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout ✓28% ██▉       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.7570869Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.7830873Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.7831892Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.8233005Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.8234417Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.8494108Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.8495168Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:08.8616900Z 
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2022-05-18T04:09:08.9080322Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout ✓28% ██▉       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.9113176Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.9144149Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.9646998Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.9679565Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.9710394Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:09.0246284Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout ✓28% ██▉       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.0278505Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.0308986Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.0812727Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.0845132Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.0875537Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.0954408Z 
2022-05-18T04:09:09.0954670Z 
2022-05-18T04:09:09.0959709Z 
2022-05-18T04:09:09.1263259Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout ✓28% ██▉       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.1264344Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.1506608Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.1507193Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.1861233Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.1862322Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.2103145Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.2104195Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.2185936Z 
2022-05-18T04:09:09.2185996Z 
2022-05-18T04:09:09.2191417Z 
2022-05-18T04:09:09.2494310Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout ✓28% ██▉       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.2495822Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.2736364Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.2737399Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.3089126Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.3090235Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.3332611Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.3333655Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.3417001Z 
2022-05-18T04:09:09.3417076Z 
2022-05-18T04:09:09.3422307Z 
2022-05-18T04:09:09.3729996Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout ✓28% ██▉       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.3731861Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.3975354Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.3976397Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.4325378Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.4326495Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.4567522Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.4568607Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.4645824Z 
2022-05-18T04:09:09.4645837Z 
2022-05-18T04:09:09.4651399Z 
2022-05-18T04:09:09.4955214Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout ✓28% ██▉       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.4956716Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.5198847Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.5199898Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.5551009Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.5552134Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.5795893Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.5796967Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.5875727Z 
2022-05-18T04:09:09.5875742Z 
2022-05-18T04:09:09.5881251Z 
2022-05-18T04:09:09.6154050Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout ✓28% ██▉       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.6182703Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.6201174Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.6489014Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.6518432Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.6537246Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.6587608Z 
2022-05-18T04:09:09.6587620Z 
2022-05-18T04:09:09.6592989Z 
2022-05-18T04:09:09.6862916Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout ✓28% ██▉       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.6891740Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.6908665Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.7197500Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.7225635Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.7242827Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.7292906Z 
2022-05-18T04:09:09.7292913Z 
2022-05-18T04:09:09.7298432Z 
2022-05-18T04:09:09.7593817Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout ✓28% ██▉       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.7594682Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.7842490Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.7843283Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.8189105Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.8189658Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.8438006Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.8438617Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.8516440Z 
2022-05-18T04:09:09.8516449Z 
2022-05-18T04:09:09.8521614Z 
2022-05-18T04:09:09.8819370Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout ✓28% ██▉       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.8820268Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.9068273Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.9068848Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.9416965Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.9417539Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.9667287Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.9667911Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.9746694Z 
2022-05-18T04:09:09.9746704Z 
2022-05-18T04:09:09.9751416Z 
2022-05-18T04:09:10.0050129Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout ✓28% ██▉       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.0051036Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.0300368Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.0301027Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.0638869Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.0639767Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.0888522Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.0889081Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.0961544Z 
2022-05-18T04:09:10.0961551Z 
2022-05-18T04:09:10.0966723Z 
2022-05-18T04:09:10.1264847Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout ✓28% ██▉       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.1265759Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.1512755Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.1513403Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.1850248Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.1850833Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.2101613Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.2102376Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.2173574Z 
2022-05-18T04:09:10.2173585Z 
2022-05-18T04:09:10.2178423Z 
2022-05-18T04:09:10.2617152Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout ✓29% ██▉       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.2637722Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.2654209Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.3109214Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.3129494Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.3146922Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.3191615Z 
2022-05-18T04:09:10.3191649Z 
2022-05-18T04:09:10.3196731Z 
2022-05-18T04:09:10.3638572Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout ✓29% ██▉       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.3658736Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.3676095Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.4129885Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.4149648Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.4166583Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.4210199Z 
2022-05-18T04:09:10.4210210Z 
2022-05-18T04:09:10.4215041Z 
2022-05-18T04:09:10.4500458Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout ✓29% ██▉       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.4501265Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.4731672Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.4732237Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.5049044Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.5049619Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.5281067Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.5281621Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:10.5641268Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout ✓29% ██▉       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.5874120Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.5874699Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.5875249Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.6198424Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.6199030Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.6437262Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.6437818Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:10.6797266Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout ✓29% ██▉       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.6798078Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.7029613Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.7030263Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.7349775Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.7350469Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.7584024Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.7584627Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:10.7645044Z 
2022-05-18T04:09:10.7936238Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout ✓29% ██▉       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.7938091Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.8171681Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.8172688Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.8489951Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.8491388Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.8725703Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.8726732Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.8781563Z 
2022-05-18T04:09:10.8781576Z 
2022-05-18T04:09:10.8786851Z 
2022-05-18T04:09:10.9046920Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout ✓29% ██▉       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.9067124Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.9080184Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.9342906Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.9363321Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.9376774Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.9412117Z 
2022-05-18T04:09:10.9412128Z 
2022-05-18T04:09:10.9417554Z 
2022-05-18T04:09:10.9675136Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout ✓29% ██▉       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.9695054Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.9708590Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.9968631Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.9988737Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.0001985Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.0036529Z 
2022-05-18T04:09:11.0036745Z 
2022-05-18T04:09:11.0041873Z 
2022-05-18T04:09:11.0327677Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout ✓29% ██▉       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.0329225Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.0570114Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.0571060Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.0895570Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.0896648Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.1137268Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.1138253Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.1205953Z 
2022-05-18T04:09:11.1205966Z 
2022-05-18T04:09:11.1210956Z 
2022-05-18T04:09:11.1497217Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout ✓29% ██▉       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.1498704Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.1738656Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.1739634Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.2058125Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.2059551Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.2301417Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.2302416Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.2369313Z 
2022-05-18T04:09:11.2369470Z 
2022-05-18T04:09:11.2374503Z 
2022-05-18T04:09:11.2656344Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout ✓29% ██▉       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.2657859Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.2896600Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.2897624Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.3208473Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.3447963Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.3449032Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.3450028Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.3510327Z 
2022-05-18T04:09:11.3510502Z 
2022-05-18T04:09:11.3515449Z 
2022-05-18T04:09:11.3794919Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout ✓29% ██▉       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.3795732Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.4035270Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.4035849Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.4346118Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.4347011Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.4584893Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.4585432Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.4646380Z 
2022-05-18T04:09:11.4646387Z 
2022-05-18T04:09:11.4651874Z 
2022-05-18T04:09:11.5076570Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout ✓29% ██▉       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.5086366Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.5098109Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.5536054Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.5546694Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.5558717Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.5599659Z 
2022-05-18T04:09:11.5599896Z 
2022-05-18T04:09:11.5605167Z 
2022-05-18T04:09:11.6064322Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout ✓29% ██▉       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.6074686Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.6086678Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.6526581Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.6537927Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.6550657Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.6591457Z 
2022-05-18T04:09:11.6591467Z 
2022-05-18T04:09:11.6596117Z 
2022-05-18T04:09:11.6875233Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout ✓29% ██▉       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.6876288Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.7095182Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.7095826Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.7403554Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.7404458Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.7624505Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.7625070Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.7678512Z 
2022-05-18T04:09:11.7678761Z 
2022-05-18T04:09:11.7683113Z 
2022-05-18T04:09:11.7959013Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout ✓29% ██▉       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.7959825Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.8179383Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.8179945Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.8483181Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.8483764Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.8705444Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.8705982Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.8759679Z 
2022-05-18T04:09:11.8759711Z 
2022-05-18T04:09:11.8764754Z 
2022-05-18T04:09:11.9044965Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout ✓29% ██▉       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.9046036Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.9266294Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.9267057Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.9560369Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.9561328Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.9782760Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.9783518Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.9826840Z 
2022-05-18T04:09:11.9826848Z 
2022-05-18T04:09:11.9832498Z 
2022-05-18T04:09:12.0107169Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_elman_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout ✓29% ██▉       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.0108674Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.0330546Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.0331585Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.0621203Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.0622380Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:24.7540020Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.7808375Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.7828915Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.7858359Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.7876198Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.7887317Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.7901339Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.7911818Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.7912548Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.7915654Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.9191757Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.9203425Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.9219274Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.9235090Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.9268627Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.9273215Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.9279264Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.9285681Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.9335669Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.9336206Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.9338155Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.9340333Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.9605726Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.9615965Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.9630306Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.9644741Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.9655821Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.9661724Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.9668827Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.9675685Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.9683217Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.9683746Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.9685777Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:24.9687670Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:25.0112307Z  test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9.test_gru_no_bias ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.0113026Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.0517179Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.0517941Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.1093755Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.1094390Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.1496892Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.1497638Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:25.2111283Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.2112076Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.2513341Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.2514281Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.3102529Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.3103310Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.3507362Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.3508074Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:25.4127434Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.4531467Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.4532207Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.4532778Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.5107775Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.5108339Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.5511823Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.5512367Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.5751980Z 
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2022-05-18T04:09:25.6128189Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.6128961Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.6531655Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.6532208Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.7109154Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.7109720Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.7514710Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.7515289Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.7753589Z 
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2022-05-18T04:09:25.7758523Z 
2022-05-18T04:09:25.8279555Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout ✓30% ███       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.8460799Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.8576270Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.9154756Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.9337651Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.9452980Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:25.9545401Z 
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2022-05-18T04:09:26.0065164Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout ✓30% ███       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.0249549Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.0365836Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.0950925Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.1133508Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.1248917Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.1340623Z 
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2022-05-18T04:09:26.1712570Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.1714085Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.2102970Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.2103866Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.2634439Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.2635533Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.3022336Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.3023303Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.3218620Z 
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2022-05-18T04:09:26.3222810Z 
2022-05-18T04:09:26.3587703Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.3588504Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.3973297Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.3980194Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.4502701Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.4503295Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.4889565Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.4890129Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.5087079Z 
2022-05-18T04:09:26.5087180Z 
2022-05-18T04:09:26.5091999Z 
2022-05-18T04:09:26.5455711Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.5456531Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.5845860Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.5846433Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.6363969Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.6364531Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.6745772Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.6939949Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:26.7310920Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.7311736Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.7695853Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.7696427Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.8226358Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.8227010Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.8617328Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.8617896Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:26.9135534Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout ✓30% ███       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.9310637Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.9409972Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.9764065Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:26.9944194Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.0045288Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.0107367Z 
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2022-05-18T04:09:27.0439702Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout ✓30% ███       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.0620957Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.0722274Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.1075642Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.1253647Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.1352810Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:27.1736675Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.1737516Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.2046140Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.2046969Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.2492828Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.2493396Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.2803478Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.2804022Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:27.3288908Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.3289700Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.3599475Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.3600052Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.4049409Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.4049976Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.4358244Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.4358845Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:27.4838739Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.4839522Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.5148034Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.5148588Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.5593360Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.5593937Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.5902864Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.5903415Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:27.6383758Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.6384543Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.6693515Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.6694110Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.7136581Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.7137187Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.7445624Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.7446320Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:27.8072466Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout ✓30% ███       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.8158384Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.8216321Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.8730578Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.8816350Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.8872747Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:27.9417406Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout ✓30% ███       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.9502002Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:27.9559566Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.0069543Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.0157659Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.0214639Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:28.0609787Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.0610628Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.0899696Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.0900337Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.1293543Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.1294214Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.1585404Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.1586389Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:28.2015504Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.2016298Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.2303447Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.2304160Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.2694737Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.2695383Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.2987420Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.2988186Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:28.3423710Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.3424498Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.3717249Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.3717997Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.4113464Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.4114126Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.4410727Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.4411470Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:28.4841246Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.4842067Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.5140757Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.5141454Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.5539694Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.5540404Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.5833410Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.5834144Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:28.6227380Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout ✓30% ███       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.6307886Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.6352096Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.6645596Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.6727191Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.6771902Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:28.7106494Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout ✓30% ███       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.7187441Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.7232585Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.7528333Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.7610196Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.7654887Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:28.8013304Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.8014085Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.8294733Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.8295450Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.8668225Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.8668888Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.8948904Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.8949626Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:28.9354317Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.9355116Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.9638006Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:28.9638739Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.0012734Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.0013296Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.0300877Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.0301571Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:29.0705108Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.0705998Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.0988659Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.0989282Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.1353420Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.1354049Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.1634867Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.1635412Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:29.2031666Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.2032728Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.2313916Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.2314486Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.2676230Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.2676839Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.2957480Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.2958029Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:29.3498555Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout ✓30% ███       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.3553221Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.3587028Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.4042640Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.4098894Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.4132946Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:29.4627356Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout ✓30% ███       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.4682651Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.4716849Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.5179357Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.5237870Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.5271936Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:29.5619281Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.5620104Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.5883266Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.5883819Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.6239346Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.6239910Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.6504807Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.6505364Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:29.6893082Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.6893876Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.7158284Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.7158851Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.7504087Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.7504757Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.7768349Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.7768888Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:29.8147235Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.8148041Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.8410749Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.8411453Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.8752853Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.8753525Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.9018702Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.9019365Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:29.9395994Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.9396780Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.9661435Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.9662158Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.9995890Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:29.9996598Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.0266959Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.0267690Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:30.0604525Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout ✓30% ███       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.0656833Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.0685919Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.0944775Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.1000278Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.1029804Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:30.1327896Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout ✓30% ███       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.1380472Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.1409642Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.1670676Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.1724996Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.1754671Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:30.2076741Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.2077603Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.2331271Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.2332134Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.2664477Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.2665042Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.2919373Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.2920176Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:30.3285532Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.3286324Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.3539181Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.3539746Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.3871596Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.3872293Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.4129250Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.4129911Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:30.4499170Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.4499964Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.4755805Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.4756492Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.5081832Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.5082403Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.5337971Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.5338687Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:30.5697437Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.5698215Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.5953231Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.5953762Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.6279387Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.6279951Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.6534765Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.6535319Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:30.7042869Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout ✓30% ███       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.7070284Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.7089987Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.7528572Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.7556888Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.7576636Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:30.8050563Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout ✓30% ███       WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.8077287Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.8096993Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.8535416Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.8562798Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.8582218Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:09:30.8906640Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_gru_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout ✓30% ███       WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.8907424Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.9144738Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:30.9145398Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:03.2879895Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:03.2966260Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:03.2966920Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:03.3300869Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:03.3330951Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:03.3336819Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:03.3344544Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:03.3352167Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:03.3360739Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:03.3361266Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:03.3364387Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:03.3366843Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:03.5181188Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_no_bias ✓33% ███▍      WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:03.5233751Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:03.5297958Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:03.5929328Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:03.5958292Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:03.5983149Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:03.7547131Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_no_hidden ✓33% ███▍      WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:03.7602122Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:03.7673574Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:03.8299725Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:03.8333501Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:03.8352944Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:04.0286188Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_post_fix_init_state ✓33% ███▍      WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.0287252Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.0288237Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.0336094Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.0336829Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.0337568Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:04.3552470Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_proj_no_hidden ✓33% ███▍      WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.3847632Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.3967680Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.3996099Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.4154550Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.4162397Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.5070049Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.5627979Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.5725906Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.5763467Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.5810628Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.5821377Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:04.6305915Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_sequence ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.6307634Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.6749944Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.6750873Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.7417579Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.7418654Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.7860069Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.7861078Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.8168709Z 
2022-05-18T04:11:04.8168723Z 
2022-05-18T04:11:04.8174079Z 
2022-05-18T04:11:04.8567050Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.8568621Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.9008205Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.9009091Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.9669666Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.9670755Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.0117311Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.0118202Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.0424626Z 
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2022-05-18T04:11:05.0826268Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.0828145Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.1270935Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.1932354Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.1933457Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.1934504Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.2374911Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.2375805Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:05.3068202Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.3513638Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.3514601Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.3515588Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.4173105Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.4174200Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.4617371Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.4618231Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:05.5622191Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout ✓33% ███▍      WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.5811444Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.5944365Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.6738945Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.6925977Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.7057911Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.7192110Z 
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2022-05-18T04:11:05.7893769Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout ✓33% ███▍      WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.8083375Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.8215482Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.9010639Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.9200137Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.9331780Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.9465786Z 
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2022-05-18T04:11:05.9855985Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:05.9857142Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.0259749Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.0260307Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.0814335Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.0814921Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.1217272Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.1217861Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.1426034Z 
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2022-05-18T04:11:06.1813915Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.1814764Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.2221002Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.2221720Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.2777009Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.2777664Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.3187250Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.3187990Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.3398690Z 
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2022-05-18T04:11:06.3786837Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.3787940Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.4193330Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.4193985Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.4750282Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.4750910Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.5160662Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.5161273Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:06.5758687Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.6167834Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.6168577Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.6169127Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.6716392Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.7125855Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.7126537Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.7127078Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:06.7684824Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout ✓33% ███▍      WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.7868321Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.7970979Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.8366241Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.8549248Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.8653076Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:06.9088947Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout ✓33% ███▍      WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.9272966Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.9375788Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.9771350Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:06.9958878Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.0060996Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:07.0481341Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.0482177Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.0830029Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.0830669Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.1361388Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.1361958Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.1709024Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.1709616Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:07.2272066Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.2273175Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.2621095Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.2621942Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.3160566Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.3161257Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.3514783Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.3515493Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:07.4093038Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.4093850Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.4440609Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.4441341Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.4962479Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.4963272Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.5310347Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.5528737Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:07.5876049Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.5877080Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.6227088Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.6227817Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.6750539Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.6751273Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.7099804Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.7100515Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:07.7960614Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout ✓33% ███▍      WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.8053718Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.8126645Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.8859151Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.8952414Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.9025946Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:07.9787038Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout ✓33% ███▍      WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.9880905Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:07.9954232Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.0686500Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.0779620Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.0852385Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:08.1308778Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.1309580Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.1627117Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.1627673Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.2061772Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.2062326Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.2375804Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.2376351Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:08.2846953Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.2848027Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.3156739Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.3157317Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.3589116Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.3589688Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.3899829Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.3900419Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:08.4358304Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.4359125Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.4672170Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.4672733Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.5098591Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.5099273Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.5409342Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.5410105Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:08.5865086Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.5866149Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.6176367Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.6176944Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.6597316Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.6597905Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.6909605Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.6910144Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:08.7350545Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout ✓33% ███▍      WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.7437688Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.7485726Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.7818741Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.7905154Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.7952812Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:08.8319260Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout ✓33% ███▍      WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.8405241Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.8452924Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.8786884Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.8872649Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.8919947Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:08.9304536Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.9306064Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.9622163Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:08.9623207Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.0035725Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.0036817Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.0351955Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.0352821Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:09.0808084Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.0809228Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.1126098Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.1126724Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.1538719Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.1539292Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.1854252Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.1854849Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:09.2301197Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.2302029Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.2616931Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.2617650Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.3023478Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.3024166Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.3339250Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.3339995Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:09.3787495Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.3788598Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.4101420Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.4102008Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.4503836Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.4504405Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.4821132Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.4821702Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:09.5565410Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout ✓33% ███▍      WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.5622845Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.5661390Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.6308378Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.6366229Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.6405149Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:09.7089954Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout ✓33% ███▍      WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.7146905Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.7185006Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.7831053Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.7888392Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.7931684Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:09.8310896Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.8311717Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.8593160Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.8593716Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.8960239Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.8960809Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.9240866Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.9241417Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:11:09.9649462Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.9650271Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.9932891Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:09.9933458Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.0303597Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.0304435Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.0584193Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.0584763Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.0675396Z 
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2022-05-18T04:11:10.0679991Z 
2022-05-18T04:11:10.0989211Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.0990252Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.1268312Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.1268862Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.1627171Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.1627751Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.1912900Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.1913450Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.1994582Z 
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2022-05-18T04:11:10.1999527Z 
2022-05-18T04:11:10.2313709Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.2314644Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.2595556Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.2596135Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.2959479Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.3241839Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.3242664Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.3243423Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.3322470Z 
2022-05-18T04:11:10.3322478Z 
2022-05-18T04:11:10.3327464Z 
2022-05-18T04:11:10.3617532Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout ✓33% ███▍      WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.3672321Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.3702134Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.4000289Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.4056773Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.4086626Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.4124127Z 
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2022-05-18T04:11:10.4129249Z 
2022-05-18T04:11:10.4418142Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout ✓33% ███▍      WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.4475231Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.4505748Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.4805262Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.4860872Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.4890188Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.4927273Z 
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2022-05-18T04:11:10.4932318Z 
2022-05-18T04:11:10.5238896Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.5239944Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.5525747Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.5526322Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.5901085Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.5901879Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.6187649Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.6286289Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.6286594Z 
2022-05-18T04:11:10.6286598Z 
2022-05-18T04:11:10.6291023Z 
2022-05-18T04:11:10.6596507Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.6597301Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.6884075Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.6884624Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.7259347Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.7259933Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.7546583Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.7547126Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.7644299Z 
2022-05-18T04:11:10.7644531Z 
2022-05-18T04:11:10.7649329Z 
2022-05-18T04:11:10.7953685Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.7954736Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.8240799Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.8241362Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.8605811Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.8894317Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.8894858Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.8895407Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.8985757Z 
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2022-05-18T04:11:10.8990543Z 
2022-05-18T04:11:10.9294822Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout ✓33% ███▍      WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.9295615Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.9583175Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.9583732Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.9953374Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:10.9953961Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:11.0248524Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:11.0249078Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:11.0342566Z 
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2022-05-18T04:11:11.0959351Z  test/onnx/test_pytorch_common.py::TestONNXRuntime_opset9.test_lstm_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout ✓33% ███▍      WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:11.0988653Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:11.1012992Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:11.1644500Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:14:36.3282263Z  test/onnx/test_pytorch_common.py::TestModels.test_fake_quant s   38% ███▉      
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2022-05-18T04:15:22.0655806Z  test/onnx/test_pytorch_common.py::TestModels.test_fcn s          38% ███▉      
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2022-05-18T04:15:22.0660317Z 
2022-05-18T04:17:00.9060601Z  test/onnx/test_pytorch_common.py::TestModels.test_googlenet ✓    38% ███▉      
2022-05-18T04:17:00.9061172Z 
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2022-05-18T04:17:16.5181055Z  test/onnx/test_pytorch_common.py::TestModels.test_inception ✓    38% ███▉      
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2022-05-18T04:17:51.2066360Z  test/onnx/test_models.py::TestModels.test_mc3_18_video ✓         38% ███▉      
2022-05-18T04:17:51.2067194Z 
2022-05-18T04:17:51.2072499Z 
2022-05-18T04:17:52.3500241Z  test/onnx/test_models.py::TestModels.test_mnasnet ✓              38% ███▉      
2022-05-18T04:17:52.3500587Z 
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2022-05-18T04:17:56.6128527Z  test/onnx/test_models.py::TestModels.test_mnist ✓                38% ███▉      Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:17:56.6133409Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:17:56.7471342Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:17:56.7475448Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:18:00.9886656Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:18:00.9890429Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:18:01.1246958Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:18:01.1251758Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:18:30.3116653Z 
2022-05-18T04:18:30.3116666Z 
2022-05-18T04:18:30.3122875Z 
2022-05-18T04:18:30.7808569Z  test/onnx/test_models.py::TestModels.test_mobilenet ✓            38% ███▉      
2022-05-18T04:18:30.7808932Z 
2022-05-18T04:18:30.7813276Z 
2022-05-18T04:18:30.8575345Z  test/onnx/test_models.py::TestModels.test_ops ✓                  38% ███▉      
2022-05-18T04:18:30.8575778Z 
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2022-05-18T04:18:30.8664001Z  test/onnx/test_models.py::TestModels.test_permute ✓              38% ███▉      Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:18:30.8667249Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:18:30.8779614Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:18:30.8782920Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:18:30.9522279Z 
2022-05-18T04:18:30.9522291Z 
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2022-05-18T04:18:30.9545545Z  test/onnx/test_models.py::TestModels.test_prelu ✓                38% ███▉      
2022-05-18T04:18:30.9545978Z 
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2022-05-18T04:18:30.9565565Z  test/onnx/test_pytorch_common.py::TestModels.test_qat_resnet_per_channel s38% ███▉      
2022-05-18T04:18:30.9566024Z 
2022-05-18T04:18:30.9570054Z 
2022-05-18T04:19:04.6579767Z  test/onnx/test_pytorch_common.py::TestModels.test_qat_resnet_pertensor s38% ███▉      
2022-05-18T04:19:04.6580207Z 
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2022-05-18T04:19:28.8826928Z  test/onnx/test_models.py::TestModels.test_r2plus1d_18_video ✓    38% ███▉      
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2022-05-18T04:20:14.3153229Z  test/onnx/test_models.py::TestModels.test_r3d_18_video ✓         38% ███▉      
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2022-05-18T04:20:20.8363342Z  test/onnx/test_models.py::TestModels.test_resnet ✓               38% ███▉      Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8364970Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8370421Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8374833Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8379701Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8398689Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8403382Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8408444Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8412985Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8479958Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8484373Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8489083Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8493761Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8498489Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8517974Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8522324Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8527193Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8531764Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8599120Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8603380Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8608494Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8613147Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8617655Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8636786Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8641314Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8646199Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8650843Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8717811Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8722198Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8726980Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8731738Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8736416Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8755682Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8760277Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8765401Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8769262Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8851991Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8855695Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8859706Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8863889Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8867885Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8886356Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8890263Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8894559Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8898324Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8965008Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8968680Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8972691Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8976658Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8980743Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.8999356Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9003626Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9007722Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9011678Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9078051Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9082082Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9086245Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9102666Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9103317Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9113181Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9116897Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9120918Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9125131Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9191888Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9195941Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9200002Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9204130Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9208309Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9226721Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9230680Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9234721Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9238779Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9305800Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9309779Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9313837Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9318032Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9322042Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9340591Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9344655Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9348889Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9352783Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9419708Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9423901Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9427993Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9432003Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9436045Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9454538Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9458547Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9462824Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9466879Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9535554Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9538646Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9542735Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9546787Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9550895Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9569517Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9573391Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9577640Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9581815Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9650121Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9653677Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9657551Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9661581Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9665488Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9683999Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9687917Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9691902Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9695791Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9782658Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9786612Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9790664Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9794776Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9798866Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9819219Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9823357Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9827724Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9831491Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9901648Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9905145Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9908677Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9912315Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9915908Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9934211Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9937868Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9941682Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:20.9945302Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0014430Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0017772Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0021545Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0025078Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0028754Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0047462Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0051282Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0055384Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0059554Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0133898Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0137369Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0141049Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0144772Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0148632Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0166759Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0170402Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0174060Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0177598Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0782674Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0787190Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0791916Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0797869Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0803371Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0830314Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0835683Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0841564Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0846930Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0921220Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0927259Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0933559Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0939687Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0945803Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0971091Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0977145Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0983428Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.0989640Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1064292Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1070563Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1076854Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1083167Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1089408Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1114634Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1120965Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1127288Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1133495Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1207451Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1213608Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1219652Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1224981Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1230426Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1255173Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1260431Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1265875Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1271219Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1356502Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1361804Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1367884Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1373933Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1380623Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1406444Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1412761Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1419256Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1425521Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1500453Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1506506Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1512818Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1519066Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1525478Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1550979Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1557328Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1562730Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1568272Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1643204Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1648157Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1653929Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1659973Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1665951Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1692475Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1697902Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1703628Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1709179Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1784068Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1789371Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1795026Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1800803Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1807211Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1833543Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1839854Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1846211Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1852387Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1928478Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1934617Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1941058Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1947257Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1953541Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1979311Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1985157Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1991248Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.1996455Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2072361Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2077865Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2083787Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2089304Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2094895Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2120004Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2125643Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2131233Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2137139Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2213763Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2218542Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2224322Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2230485Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2236017Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2263979Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2268939Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2274621Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2280172Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2357225Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2361912Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2367704Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2373648Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2378969Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2404035Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2409165Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2414909Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2420514Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2510160Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2516209Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2522121Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2529130Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2535702Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2563954Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2570425Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2576895Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2583232Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2661676Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2667665Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2674007Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2680036Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2685633Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2710561Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2716053Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2721621Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2727305Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2804357Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2809854Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2815442Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2820595Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2825942Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2850731Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2856056Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2861617Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2867012Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2943521Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2948803Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2954276Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2959661Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2965265Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2989920Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.2995241Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.3000542Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:21.3006136Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.7920156Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.7923107Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.7927351Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.7931679Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.7935488Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.7954118Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.7957762Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.7962086Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.7965877Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8031741Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8035641Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8039552Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8043643Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8047781Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8066172Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8070279Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8074266Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8078281Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8144884Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8148489Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8152515Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8156481Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8160423Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8178901Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8182736Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8186481Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8190299Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8256469Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8260063Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8263890Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8267675Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8271439Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8289626Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8293329Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8297061Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8300920Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8384626Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8387280Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8391782Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8396392Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8399927Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8418554Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8422629Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8427244Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8430952Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8498531Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8502636Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8506647Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8510756Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8514848Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8533634Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8537580Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8541901Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8546013Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8614243Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8617732Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8622024Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8626236Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8630383Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8649456Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8653562Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8657515Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8661879Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8729760Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8733744Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8737751Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8741990Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8746192Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8764696Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8768928Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8773075Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8777095Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8844745Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8848773Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8852861Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8856928Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8861776Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8879852Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8884341Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8888789Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8892989Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8963760Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8967426Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8972430Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8977343Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.8982708Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9002225Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9007312Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9012383Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9017342Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9086959Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9091666Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9096616Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9101771Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9106864Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9126579Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9131424Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9136387Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9141435Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9210537Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9215259Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9220259Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9225163Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9230235Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9249808Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9254560Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9259464Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9264475Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9353038Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9357473Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9362376Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9367660Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9372522Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9392139Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9396910Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9402065Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9407011Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9478493Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9482662Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9487351Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9491412Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9495386Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9514203Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9518339Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9522865Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9527172Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9597915Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9601689Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9606033Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9610234Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9614369Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9633328Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9637360Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9641534Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9645842Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9716951Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9720796Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9725374Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9729635Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9734207Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9753461Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9757475Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9761428Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:27.9765928Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0376995Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0381793Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0387568Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0393098Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0398659Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0423582Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0429158Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0435591Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0441354Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0517272Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0523180Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0529321Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0535025Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0540676Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0565303Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0571147Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0576658Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0582207Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0656929Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0661869Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0667590Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0673251Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0679078Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0706564Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0711951Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0717532Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0723340Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0798052Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0803510Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0809010Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0814343Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0819607Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0844266Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0849688Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0855603Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0861293Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0948264Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0953272Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0958665Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0965309Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0971782Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.0999776Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1006348Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1012758Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1018853Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1095196Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1101263Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1107600Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1113850Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1119720Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1145052Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1150468Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1156346Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1161961Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1237738Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1243076Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1248535Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1254143Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1259939Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1285073Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1290845Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1296740Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1302446Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1377996Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1383651Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1389553Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1395191Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1401077Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1426411Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1432397Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1438130Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1444060Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1519551Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1524972Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1531024Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1537143Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1543424Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1570573Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1576191Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1581906Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1587328Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1663690Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1669141Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1675304Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1681259Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1686944Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1712028Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1717425Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1722780Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1728579Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1805311Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1811039Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1817024Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1823120Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1829481Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1856893Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1862862Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1868183Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1873930Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1950956Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1955951Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1961913Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1967660Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.1973569Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2002843Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2008268Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2013865Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2019313Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2109482Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2115027Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2120602Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2126996Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2133001Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2160485Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2166090Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2171488Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2177207Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2256421Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2262588Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2268694Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2274982Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2281088Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2307237Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2313335Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2319552Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2325894Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2404378Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2410423Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2415636Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2421348Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2426949Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2454179Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2459364Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2464596Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2469771Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2547762Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2552593Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2558058Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2563481Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2568880Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2593566Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2598843Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2604362Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:20:28.2609734Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:21:13.4227052Z 
2022-05-18T04:21:13.4227068Z 
2022-05-18T04:21:13.4234447Z 
2022-05-18T04:21:14.5272916Z  test/onnx/test_pytorch_common.py::TestModels.test_shufflenet ✓   39% ███▉      Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:21:14.5273505Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:21:14.5366918Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:21:14.5367438Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:21:15.6200373Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:21:15.6201071Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:21:15.6298899Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:21:15.6299388Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:21:24.2696034Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:21:24.2696724Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:21:24.2789470Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:21:24.2790238Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:21:25.3559601Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:21:25.3560289Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:21:25.3653423Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:21:25.3653922Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:21:32.9176838Z 
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2022-05-18T04:21:32.9202541Z  test/onnx/test_models.py::TestModels.test_squeezenet ✓           39% ███▉      
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2022-05-18T04:21:35.1018146Z  test/onnx/test_models.py::TestModels.test_srresnet s             39% ███▉      
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2022-05-18T04:21:35.1042614Z  test/onnx/test_models.py::TestModels.test_super_resolution ✓     39% ███▉      
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2022-05-18T04:21:35.1061268Z  test/onnx/test_models.py::TestModels.test_vgg16 s                39% ███▉      
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2022-05-18T04:21:35.1079234Z  test/onnx/test_models.py::TestModels.test_vgg16_bn s             39% ███▉      
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2022-05-18T04:21:35.1097062Z  test/onnx/test_models.py::TestModels.test_vgg19 s                39% ███▉      
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2022-05-18T04:22:16.8429725Z  test/onnx/test_models.py::TestModels.test_vgg19_bn s             39% ███▉      
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2022-05-18T04:22:16.9371960Z  test/onnx/test_models.py::TestModels_new_jit_API.test_alexnet ✓  39% ███▉      
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2022-05-18T04:22:20.5103206Z  test/onnx/test_pytorch_common.py::TestModels_new_jit_API.test_concat ✓39% ███▉      
2022-05-18T04:22:20.5103654Z 
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2022-05-18T04:22:26.0124515Z  test/onnx/test_pytorch_common.py::TestModels_new_jit_API.test_dcgan_netD ✓39% ███▉      
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2022-05-18T04:22:26.0146956Z  test/onnx/test_pytorch_common.py::TestModels_new_jit_API.test_dcgan_netG ✓39% ███▉      
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2022-05-18T04:25:22.5211091Z  test/onnx/test_pytorch_common.py::TestModels_new_jit_API.test_deeplab s39% ███▉      
2022-05-18T04:25:22.5211549Z 
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2022-05-18T04:25:22.6824352Z  test/onnx/test_models.py::TestModels_new_jit_API.test_densenet ✓ 39% ███▉      
2022-05-18T04:25:22.6824636Z 
2022-05-18T04:25:22.6830296Z 
2022-05-18T04:25:22.8681420Z  test/onnx/test_pytorch_common.py::TestModels_new_jit_API.test_embedding_sequential_1 ✓39% ███▉      
2022-05-18T04:25:22.8681704Z 
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2022-05-18T04:25:22.8704246Z  test/onnx/test_pytorch_common.py::TestModels_new_jit_API.test_embedding_sequential_2 ✓39% ███▉      
2022-05-18T04:25:22.8704747Z 
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2022-05-18T04:25:22.8724446Z  test/onnx/test_pytorch_common.py::TestModels_new_jit_API.test_fake_quant s39% ███▉      
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2022-05-18T04:27:56.7213191Z  test/onnx/test_pytorch_common.py::TestModels_new_jit_API.test_googlenet ✓39% ███▉      
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2022-05-18T04:28:18.7927270Z  test/onnx/test_pytorch_common.py::TestModels_new_jit_API.test_inception ✓39% ███▉      
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2022-05-18T04:29:02.3954598Z  test/onnx/test_models.py::TestModels_new_jit_API.test_mc3_18_video ✓39% ███▉      
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2022-05-18T04:29:03.9853494Z  test/onnx/test_models.py::TestModels_new_jit_API.test_mnasnet ✓  39% ███▉      
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2022-05-18T04:29:08.3829557Z  test/onnx/test_models.py::TestModels_new_jit_API.test_mnist ✓    39% ███▉      Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:29:08.3831664Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:29:08.5191475Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:29:08.5194969Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:29:12.8251569Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:29:12.8254030Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:29:12.9611720Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:29:12.9616259Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:29:51.2620874Z 
2022-05-18T04:29:51.2620887Z 
2022-05-18T04:29:51.2636489Z 
2022-05-18T04:29:52.0202162Z  test/onnx/test_models.py::TestModels_new_jit_API.test_mobilenet ✓39% ███▉      
2022-05-18T04:29:52.0202605Z 
2022-05-18T04:29:52.0207375Z 
2022-05-18T04:29:52.1460106Z  test/onnx/test_models.py::TestModels_new_jit_API.test_ops ✓      39% ███▉      
2022-05-18T04:29:52.1460523Z 
2022-05-18T04:29:52.1464601Z 
2022-05-18T04:29:52.1554490Z  test/onnx/test_models.py::TestModels_new_jit_API.test_permute ✓  39% ███▉      Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:29:52.1557151Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:29:52.1675827Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:29:52.1679264Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:29:52.3339901Z 
2022-05-18T04:29:52.3339916Z 
2022-05-18T04:29:52.3346001Z 
2022-05-18T04:29:52.3364626Z  test/onnx/test_models.py::TestModels_new_jit_API.test_prelu ✓    39% ███▉      
2022-05-18T04:29:52.3365054Z 
2022-05-18T04:29:52.3369395Z 
2022-05-18T04:29:52.3386210Z  test/onnx/test_pytorch_common.py::TestModels_new_jit_API.test_qat_resnet_per_channel s39% ███▉      
2022-05-18T04:29:52.3386636Z 
2022-05-18T04:29:52.3390093Z 
2022-05-18T04:30:35.5362416Z  test/onnx/test_pytorch_common.py::TestModels_new_jit_API.test_qat_resnet_pertensor s39% ███▉      
2022-05-18T04:30:35.5362820Z 
2022-05-18T04:30:35.5372749Z 
2022-05-18T04:31:07.1259587Z  test/onnx/test_models.py::TestModels_new_jit_API.test_r2plus1d_18_video ✓39% ███▉      
2022-05-18T04:31:07.1260026Z 
2022-05-18T04:31:07.1269766Z 
2022-05-18T04:32:03.3604190Z  test/onnx/test_models.py::TestModels_new_jit_API.test_r3d_18_video ✓39% ███▉      
2022-05-18T04:32:03.3604643Z 
2022-05-18T04:32:03.3613696Z 
2022-05-18T04:32:10.1637184Z  test/onnx/test_models.py::TestModels_new_jit_API.test_resnet ✓   39% ███▉      Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1639604Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1643852Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1647917Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1652158Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1674048Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1677958Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1682075Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1686404Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1756445Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1760155Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1764509Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1768665Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1772860Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1792170Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1796282Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1800410Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1804784Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1874639Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1878638Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1883594Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1887278Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1891528Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1911009Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1915181Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1919516Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1923804Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1993844Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.1997828Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2002073Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2006412Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2010667Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2030525Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2034422Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2038694Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2042753Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2135817Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2139826Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2143947Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2148181Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2152367Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2171795Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2176126Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2180356Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2184692Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2256511Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2260610Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2264947Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2269256Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2273578Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2293133Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2297468Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2301932Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2306233Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2377234Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2381726Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2386079Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2390460Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2394785Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2414485Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2418860Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2423240Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2427789Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2499259Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2503393Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2507619Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2511960Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2516376Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2536078Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2540530Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2544818Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2549208Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2621085Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2625228Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2629566Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2633920Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2638228Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2658132Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2662474Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2666787Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2671130Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2743610Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2747349Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2751738Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2756084Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2760463Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2780356Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2784562Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2788944Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2793304Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2865462Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2869526Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2873938Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2878283Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2882634Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2902618Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2906981Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2911248Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2915618Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2987585Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2992082Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.2996670Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3000774Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3005367Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3025048Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3029544Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3033722Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3037976Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3130690Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3134758Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3139235Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3143480Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3147765Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3167806Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3171853Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3176083Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3180550Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3256453Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3259652Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3263960Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3268045Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3272390Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3305699Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3306300Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3306721Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3307171Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3381182Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3384815Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3389018Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3393327Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3397638Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3417817Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3421983Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3426379Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3430734Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3507645Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3510433Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3514833Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3519281Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3523947Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3543910Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3548118Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3552474Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.3556793Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4192334Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4197747Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4203823Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4210039Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4215971Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4242259Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4247457Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4252992Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4259165Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4338374Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4344499Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4350193Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4355972Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4361824Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4388351Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4393975Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4399830Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4405869Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4485589Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4490888Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4497253Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4503191Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4509271Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4537245Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4543071Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4549083Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4555181Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4635375Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4640607Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4646842Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4652618Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4659159Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4684813Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4690673Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4696506Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4702583Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4795270Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4801060Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4807528Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4813691Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4820054Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4847218Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4853712Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4860196Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4867295Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4947025Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4953480Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4959918Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4966757Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4972333Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.4999167Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5005062Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5011134Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5016769Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5096483Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5102331Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5108806Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5114835Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5121031Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5146775Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5152453Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5158336Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5164657Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5246140Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5252388Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5258854Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5264551Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5270344Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5297360Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5303673Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5309605Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5315401Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5395124Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5400977Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5406873Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5412765Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5418915Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5445024Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5450567Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5456294Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5462484Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5543834Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5548982Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5555289Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5561668Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5568374Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5595570Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5601988Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5608810Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5615385Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5697025Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5702082Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5707813Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5713702Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5719348Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5745652Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5751367Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5756996Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5762714Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5842241Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5848106Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5853998Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5859694Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5865324Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5891966Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5897455Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5903276Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.5908973Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6003914Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6008964Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6014694Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6020708Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6026989Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6053449Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6059240Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6065114Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6071151Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6153119Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6158602Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6164672Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6170498Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6176337Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6202812Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6208642Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6214462Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6220409Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6302935Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6308406Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6314187Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6319838Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6325655Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6352232Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6357888Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6363809Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6369589Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6452067Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6457530Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6463413Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6469101Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6474953Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6501677Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6507245Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6512923Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:10.6518751Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3068612Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3071478Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3075727Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3080022Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3084495Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3105629Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3109765Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3113813Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3118042Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3187311Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3191058Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3194808Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3198546Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3202282Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3221414Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3225182Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3228965Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3232718Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3301526Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3305290Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3308930Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3312647Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3316811Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3335975Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3340356Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3344671Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3349029Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3422914Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3426756Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3430467Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3434456Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3438372Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3457124Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3461153Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3464953Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3468721Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3556088Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3559862Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3564118Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3567882Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3571707Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3591445Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3595546Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3599902Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3604532Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3679760Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3683612Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3687428Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3691219Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3695241Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3714046Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3717851Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3721612Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3725575Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3795788Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3799597Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3803602Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3807441Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3811306Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3830033Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3833830Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3837725Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3841537Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3912332Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3916357Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3920779Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3925314Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3929773Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3951270Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3955644Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3959972Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.3964178Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4035449Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4039527Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4043742Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4047893Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4052040Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4071680Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4075906Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4080036Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4084404Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4155294Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4159279Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4163636Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4167961Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4172091Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4191575Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4195757Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4199965Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4204360Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4276136Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4280454Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4285003Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4289346Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4293536Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4313335Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4317559Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4321851Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4326193Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4397849Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4401824Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4406206Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4410510Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4414798Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4434371Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4438602Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4442805Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4447257Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4540455Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4544436Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4548591Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4552878Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4557117Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4576871Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4581172Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4585371Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4589784Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4663541Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4667714Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4671940Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4676197Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4680432Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4700496Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4704690Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4708935Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4713212Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4788291Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4792475Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4796671Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4800939Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4805358Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4825285Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4829288Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4833574Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4837834Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4912380Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4916529Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4920742Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4925183Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4929451Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4949232Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4953478Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4957842Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.4962102Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5597328Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5602456Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5608493Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5614297Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5620562Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5647248Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5653004Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5658895Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5665447Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5744806Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5751216Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5757688Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5764723Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5771162Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5798215Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5805310Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5811519Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5818250Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5897956Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5904109Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5910361Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5916343Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5922461Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5951303Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5957197Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5962820Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.5968777Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6048068Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6053317Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6059410Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6065479Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6071319Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6097899Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6103949Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6110064Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6115840Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6208106Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6213307Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6219143Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6225325Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6231506Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6257642Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6263569Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6269224Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6275365Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6354568Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6360019Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6366453Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6372168Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6378106Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6404704Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6410478Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6416930Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6423130Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6502941Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6508652Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6514892Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6521074Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6527265Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6553398Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6559332Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6565473Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6571600Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6651669Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6657417Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6663774Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6670514Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6676891Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6704821Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6711446Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6717178Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6723283Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6802840Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6808770Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6815253Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6821089Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6827270Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6853364Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6859128Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6864902Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6870854Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6949966Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6955706Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6961508Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6967471Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6973242Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.6999461Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7005318Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7011037Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7016805Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7096908Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7102703Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7108861Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7115180Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7121247Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7148400Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7155011Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7161470Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7168265Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7248414Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7254843Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7260595Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7266283Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7271830Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7298022Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7303682Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7309408Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7315166Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7409426Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7414705Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7420531Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7426161Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7431886Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7458421Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7464156Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7469794Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7476211Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7558399Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7563845Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7569666Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7575320Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7581102Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7607443Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7613085Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7618926Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7624643Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7706108Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7711631Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7717239Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7723176Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7729128Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7755385Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7761297Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7767256Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7772935Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7854329Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7860205Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7866049Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7871849Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:32:17.7877675Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:32:17.7915887Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:33:05.6824593Z  test/onnx/test_pytorch_common.py::TestModels_new_jit_API.test_shufflenet ✓39% ███▉      Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:33:05.6825367Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:33:05.6928681Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:33:05.6929113Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:33:06.8124939Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:33:06.8125731Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:33:06.8226054Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:33:06.8226527Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:33:17.8982457Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:33:17.8983168Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:33:17.9076114Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:33:17.9076648Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:33:18.9951030Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:33:18.9951602Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:33:19.0046311Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
2022-05-18T04:33:19.0046753Z Warning: Constant folding - unsupported opset version. Constant folding not applied.
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2022-05-18T04:33:28.7720812Z 
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2022-05-18T04:33:28.7747969Z  test/onnx/test_models.py::TestModels_new_jit_API.test_squeezenet ✓39% ███▉      
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2022-05-18T04:33:31.9655696Z  test/onnx/test_models.py::TestModels_new_jit_API.test_vgg19_bn s 39% ███▉      WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:31.9656627Z WARNING: The shape inference of aten::cumsum type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:31.9658544Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:31.9659290Z WARNING: The shape inference of aten::cumsum type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:33:34.0700890Z       %input1 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu),
2022-05-18T04:33:34.0701633Z       %fc1.weight : Float(10, 784, strides=[784, 1], requires_grad=1, device=cpu),
2022-05-18T04:33:34.0705196Z       %fc1.bias : Float(10, strides=[1], requires_grad=1, device=cpu)):
2022-05-18T04:33:34.0706242Z   %output-0 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_0"](%input0, %fc1.weight, %fc1.bias) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:33:34.0707216Z   %output-3 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity[onnx_name="Identity_1"](%output-0)
2022-05-18T04:33:34.0707991Z   %output-1 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity[onnx_name="Identity_2"](%output-0)
2022-05-18T04:33:34.0709037Z   %output-2 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_3"](%input1, %fc1.weight, %fc1.bias) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:33:34.0710075Z   %output-4 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity[onnx_name="Identity_4"](%output-2)
2022-05-18T04:33:34.0710645Z   return (%output-0, %output-1, %output-2, %output-3, %output-4)
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2022-05-18T04:33:36.1345978Z   %1 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Exp[onnx_name="Exp_0"](%onnx::Exp_0) # /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py:645:0
2022-05-18T04:33:36.1346430Z   return (%1)
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2022-05-18T04:33:37.1034948Z       %input1 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu),
2022-05-18T04:33:37.1035382Z       %fc1.weight : Float(10, 784, strides=[784, 1], requires_grad=1, device=cpu),
2022-05-18T04:33:37.1035807Z       %fc1.bias : Float(10, strides=[1], requires_grad=1, device=cpu)):
2022-05-18T04:33:37.1036827Z   %output-0 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_0"](%input0, %fc1.weight, %fc1.bias) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:33:37.1037986Z   %output-3 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity[onnx_name="Identity_1"](%output-0)
2022-05-18T04:33:37.1038747Z   %output-1 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity[onnx_name="Identity_2"](%output-0)
2022-05-18T04:33:37.1039789Z   %output-2 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_3"](%input1, %fc1.weight, %fc1.bias) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:33:37.1040713Z   %output-4 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity[onnx_name="Identity_4"](%output-2)
2022-05-18T04:33:37.1041276Z   return (%output-0, %output-1, %output-2, %output-3, %output-4)
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2022-05-18T04:33:39.3083499Z   %1 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Exp[onnx_name="Exp_0"](%onnx::Exp_0) # /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py:645:0
2022-05-18T04:33:39.3083959Z   return (%1)
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2022-05-18T04:33:40.4128646Z       %input1 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu),
2022-05-18T04:33:40.4129171Z       %fc1.weight : Float(10, 784, strides=[784, 1], requires_grad=1, device=cpu),
2022-05-18T04:33:40.4129666Z       %fc1.bias : Float(10, strides=[1], requires_grad=1, device=cpu)):
2022-05-18T04:33:40.4130950Z   %output-0 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_0"](%input0, %fc1.weight, %fc1.bias) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:33:40.4132526Z   %output-3 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity[onnx_name="Identity_1"](%output-0)
2022-05-18T04:33:40.4133547Z   %output-1 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity[onnx_name="Identity_2"](%output-0)
2022-05-18T04:33:40.4134938Z   %output-2 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_3"](%input1, %fc1.weight, %fc1.bias) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:33:40.4136177Z   %output-4 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity[onnx_name="Identity_4"](%output-2)
2022-05-18T04:33:40.4136946Z   return (%output-0, %output-1, %output-2, %output-3, %output-4)
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2022-05-18T04:33:42.9221028Z   %1 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Exp[onnx_name="Exp_0"](%onnx::Exp_0) # /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py:645:0
2022-05-18T04:33:42.9221464Z   return (%1)
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2022-05-18T04:33:44.0636058Z       %input1 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu),
2022-05-18T04:33:44.0636504Z       %fc1.weight : Float(10, 784, strides=[784, 1], requires_grad=1, device=cpu),
2022-05-18T04:33:44.0636929Z       %fc1.bias : Float(10, strides=[1], requires_grad=1, device=cpu)):
2022-05-18T04:33:44.0637907Z   %output-0 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_0"](%input0, %fc1.weight, %fc1.bias) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:33:44.0638848Z   %output-3 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity[onnx_name="Identity_1"](%output-0)
2022-05-18T04:33:44.0639615Z   %output-1 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity[onnx_name="Identity_2"](%output-0)
2022-05-18T04:33:44.0640645Z   %output-2 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_3"](%input1, %fc1.weight, %fc1.bias) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:33:44.0641545Z   %output-4 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity[onnx_name="Identity_4"](%output-2)
2022-05-18T04:33:44.0642098Z   return (%output-0, %output-1, %output-2, %output-3, %output-4)
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2022-05-18T04:33:46.6606185Z   %1 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Exp[onnx_name="Exp_0"](%onnx::Exp_0) # /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py:645:0
2022-05-18T04:33:46.6606621Z   return (%1)
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2022-05-18T04:33:47.6303797Z WARNING: The shape inference of com.microsoft::Inverse type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:33:47.8637074Z       %input1 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu),
2022-05-18T04:33:47.8637530Z       %fc1.weight : Float(10, 784, strides=[784, 1], requires_grad=1, device=cpu),
2022-05-18T04:33:47.8637952Z       %fc1.bias : Float(10, strides=[1], requires_grad=1, device=cpu)):
2022-05-18T04:33:47.8638946Z   %output-0 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_0"](%input0, %fc1.weight, %fc1.bias) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:33:47.8639863Z   %output-3 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity[onnx_name="Identity_1"](%output-0)
2022-05-18T04:33:47.8640638Z   %output-1 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity[onnx_name="Identity_2"](%output-0)
2022-05-18T04:33:47.8641667Z   %output-2 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_3"](%input1, %fc1.weight, %fc1.bias) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:33:47.8642573Z   %output-4 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity[onnx_name="Identity_4"](%output-2)
2022-05-18T04:33:47.8643295Z   return (%output-0, %output-1, %output-2, %output-3, %output-4)
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2022-05-18T04:33:50.5887527Z   %1 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Exp[onnx_name="Exp_0"](%onnx::Exp_0) # /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py:645:0
2022-05-18T04:33:50.5887983Z   return (%1)
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2022-05-18T04:33:51.8379599Z       %input1 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu),
2022-05-18T04:33:51.8380027Z       %fc1.weight : Float(10, 784, strides=[784, 1], requires_grad=1, device=cpu),
2022-05-18T04:33:51.8380449Z       %fc1.bias : Float(10, strides=[1], requires_grad=1, device=cpu)):
2022-05-18T04:33:51.8381434Z   %output-0 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_0"](%input0, %fc1.weight, %fc1.bias) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:33:51.8382351Z   %output-3 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity[onnx_name="Identity_1"](%output-0)
2022-05-18T04:33:51.8383124Z   %output-1 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity[onnx_name="Identity_2"](%output-0)
2022-05-18T04:33:51.8384172Z   %output-2 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_3"](%input1, %fc1.weight, %fc1.bias) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:33:51.8385073Z   %output-4 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity[onnx_name="Identity_4"](%output-2)
2022-05-18T04:33:51.8385644Z   return (%output-0, %output-1, %output-2, %output-3, %output-4)
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2022-05-18T04:33:54.6308011Z   %1 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Exp[onnx_name="Exp_0"](%onnx::Exp_0) # /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py:645:0
2022-05-18T04:33:54.6308454Z   return (%1)
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2022-05-18T04:33:55.9038614Z       %input1 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu),
2022-05-18T04:33:55.9039145Z       %fc1.weight : Float(10, 784, strides=[784, 1], requires_grad=1, device=cpu),
2022-05-18T04:33:55.9039667Z       %fc1.bias : Float(10, strides=[1], requires_grad=1, device=cpu)):
2022-05-18T04:33:55.9040993Z   %output-0 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_0"](%input0, %fc1.weight, %fc1.bias) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:33:55.9042224Z   %output-3 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity[onnx_name="Identity_1"](%output-0)
2022-05-18T04:33:55.9043496Z   %output-1 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity[onnx_name="Identity_2"](%output-0)
2022-05-18T04:33:55.9044887Z   %output-2 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_3"](%input1, %fc1.weight, %fc1.bias) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:33:55.9046117Z   %output-4 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity[onnx_name="Identity_4"](%output-2)
2022-05-18T04:33:55.9046868Z   return (%output-0, %output-1, %output-2, %output-3, %output-4)
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2022-05-18T04:33:59.2012522Z   %1 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Exp[onnx_name="Exp_0"](%onnx::Exp_0) # /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py:645:0
2022-05-18T04:33:59.2012974Z   return (%1)
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2022-05-18T04:34:08.5685483Z       %fc1.bias : Float(10, 5, strides=[5, 1], requires_grad=1, device=cpu),
2022-05-18T04:34:08.5685989Z       %fc1.bias.1 : Float(10, strides=[1], requires_grad=1, device=cpu)):
2022-05-18T04:34:08.5687043Z   %3 : Float(7, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_0"](%input1, %fc1.bias, %fc1.bias.1) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:34:08.5687725Z   return (%3)
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2022-05-18T04:34:08.5814511Z       %parameter2 : Float(10, strides=[1], requires_grad=1, device=cpu)):
2022-05-18T04:34:08.5815712Z   %3 : Float(7, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_0"](%input1, %parameter1, %parameter2) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:34:08.5816375Z   return (%3)
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2022-05-18T04:34:34.2590313Z       %fc1.bias : Float(10, 5, strides=[5, 1], requires_grad=1, device=cpu),
2022-05-18T04:34:34.2590604Z       %fc1.bias.1 : Float(10, strides=[1], requires_grad=1, device=cpu)):
2022-05-18T04:34:34.2591261Z   %3 : Float(7, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_0"](%input1, %fc1.bias, %fc1.bias.1) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:34:34.2591637Z   return (%3)
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2022-05-18T04:34:34.2707354Z       %parameter1 : Float(10, 5, strides=[5, 1], requires_grad=1, device=cpu),
2022-05-18T04:34:34.2707652Z       %parameter2 : Float(10, strides=[1], requires_grad=1, device=cpu)):
2022-05-18T04:34:34.2708332Z   %3 : Float(7, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_0"](%input1, %parameter1, %parameter2) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:34:34.2708722Z   return (%3)
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2022-05-18T04:35:03.9701909Z   %onnx::Mul_1 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Constant[value=<Tensor>, onnx_name="Constant_0"]()
2022-05-18T04:35:03.9702563Z   %2 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Mul[onnx_name="Mul_1"](%onnx::Mul_0, %onnx::Mul_1) # /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:1687:0
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2022-05-18T04:35:05.4530736Z       %fc1.bias : Float(10, 5, strides=[5, 1], requires_grad=1, device=cpu),
2022-05-18T04:35:05.4531031Z       %fc1.bias.1 : Float(10, strides=[1], requires_grad=1, device=cpu)):
2022-05-18T04:35:05.4531681Z   %3 : Float(7, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_0"](%input1, %fc1.bias, %fc1.bias.1) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:35:05.4532070Z   return (%3)
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2022-05-18T04:35:05.4651698Z       %parameter1 : Float(10, 5, strides=[5, 1], requires_grad=1, device=cpu),
2022-05-18T04:35:05.4652006Z       %parameter2 : Float(10, strides=[1], requires_grad=1, device=cpu)):
2022-05-18T04:35:05.4652662Z   %3 : Float(7, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_0"](%input1, %parameter1, %parameter2) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:35:05.4653307Z   return (%3)
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2022-05-18T04:35:25.4891355Z   %onnx::Mul_1 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Constant[value=<Tensor>, onnx_name="Constant_0"]()
2022-05-18T04:35:25.4891815Z   %2 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Mul[onnx_name="Mul_1"](%onnx::Mul_0, %onnx::Mul_1) # /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:1687:0
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2022-05-18T04:35:28.8909337Z       %fc1.bias : Float(10, 5, strides=[5, 1], requires_grad=1, device=cpu),
2022-05-18T04:35:28.8909841Z       %fc1.bias.1 : Float(10, strides=[1], requires_grad=1, device=cpu)):
2022-05-18T04:35:28.8911275Z   %3 : Float(7, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_0"](%input1, %fc1.bias, %fc1.bias.1) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:35:28.8911958Z   return (%3)
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2022-05-18T04:35:28.9030842Z       %parameter1 : Float(10, 5, strides=[5, 1], requires_grad=1, device=cpu),
2022-05-18T04:35:28.9031158Z       %parameter2 : Float(10, strides=[1], requires_grad=1, device=cpu)):
2022-05-18T04:35:28.9031850Z   %3 : Float(7, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_0"](%input1, %parameter1, %parameter2) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:35:28.9032223Z   return (%3)
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2022-05-18T04:35:58.4327016Z   %onnx::Mul_1 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Constant[value=<Tensor>, onnx_name="Constant_0"]()
2022-05-18T04:35:58.4327703Z   %2 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Mul[onnx_name="Mul_1"](%onnx::Mul_0, %onnx::Mul_1) # /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:1687:0
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2022-05-18T04:35:59.9644293Z       %fc1.bias : Float(10, 5, strides=[5, 1], requires_grad=1, device=cpu),
2022-05-18T04:35:59.9644586Z       %fc1.bias.1 : Float(10, strides=[1], requires_grad=1, device=cpu)):
2022-05-18T04:35:59.9645245Z   %3 : Float(7, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_0"](%input1, %fc1.bias, %fc1.bias.1) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:35:59.9645873Z   return (%3)
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2022-05-18T04:35:59.9770195Z       %parameter1 : Float(10, 5, strides=[5, 1], requires_grad=1, device=cpu),
2022-05-18T04:35:59.9770508Z       %parameter2 : Float(10, strides=[1], requires_grad=1, device=cpu)):
2022-05-18T04:35:59.9771157Z   %3 : Float(7, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_0"](%input1, %parameter1, %parameter2) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:35:59.9771554Z   return (%3)
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2022-05-18T04:36:18.3305471Z WARNING: The shape inference of _caffe2::InferenceLSTM type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:36:20.5996943Z   %onnx::Mul_1 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Constant[value=<Tensor>, onnx_name="Constant_0"]()
2022-05-18T04:36:20.5997702Z   %2 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Mul[onnx_name="Mul_1"](%onnx::Mul_0, %onnx::Mul_1) # /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:1687:0
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2022-05-18T04:36:24.0318023Z       %fc1.bias : Float(10, 5, strides=[5, 1], requires_grad=1, device=cpu),
2022-05-18T04:36:24.0318323Z       %fc1.bias.1 : Float(10, strides=[1], requires_grad=1, device=cpu)):
2022-05-18T04:36:24.0318967Z   %3 : Float(7, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_0"](%input1, %fc1.bias, %fc1.bias.1) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:36:24.0319343Z   return (%3)
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2022-05-18T04:36:24.0444863Z       %parameter1 : Float(10, 5, strides=[5, 1], requires_grad=1, device=cpu),
2022-05-18T04:36:24.0445160Z       %parameter2 : Float(10, strides=[1], requires_grad=1, device=cpu)):
2022-05-18T04:36:24.0445842Z   %3 : Float(7, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_0"](%input1, %parameter1, %parameter2) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:36:24.0446226Z   return (%3)
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2022-05-18T04:36:54.7080903Z       %fc1.bias : Float(10, 5, strides=[5, 1], requires_grad=1, device=cpu),
2022-05-18T04:36:54.7081387Z       %fc1.bias.1 : Float(10, strides=[1], requires_grad=1, device=cpu)):
2022-05-18T04:36:54.7082462Z   %3 : Float(7, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_0"](%input1, %fc1.bias, %fc1.bias.1) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:36:54.7083336Z   return (%3)
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2022-05-18T04:36:54.7205333Z       %parameter1 : Float(10, 5, strides=[5, 1], requires_grad=1, device=cpu),
2022-05-18T04:36:54.7205750Z       %parameter2 : Float(10, strides=[1], requires_grad=1, device=cpu)):
2022-05-18T04:36:54.7206700Z   %3 : Float(7, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_0"](%input1, %parameter1, %parameter2) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:36:54.7207261Z   return (%3)
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2022-05-18T04:36:57.7951240Z WARNING: The shape inference of _caffe2::Range type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:57.7954958Z WARNING: The shape inference of _caffe2::Range type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:57.8027866Z WARNING: The shape inference of _caffe2::Range type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:57.8030976Z WARNING: The shape inference of _caffe2::Range type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:57.8035370Z WARNING: The shape inference of _caffe2::Range type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:37:14.0922128Z WARNING: The shape inference of _caffe2::BBoxTransform type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.0923242Z WARNING: The shape inference of _caffe2::BBoxTransform type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.0924130Z WARNING: The shape inference of _caffe2::BBoxTransform type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.0997046Z WARNING: The shape inference of _caffe2::BBoxTransform type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.0997925Z WARNING: The shape inference of _caffe2::BBoxTransform type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.0998935Z WARNING: The shape inference of _caffe2::BBoxTransform type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.0999718Z WARNING: The shape inference of _caffe2::BBoxTransform type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1055080Z WARNING: The shape inference of _caffe2::BBoxTransform type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1056539Z WARNING: The shape inference of _caffe2::BBoxTransform type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1057628Z WARNING: The shape inference of _caffe2::BBoxTransform type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1058499Z WARNING: The shape inference of _caffe2::BBoxTransform type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:37:14.1177050Z WARNING: The shape inference of _caffe2::GenerateProposals type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1177871Z WARNING: The shape inference of _caffe2::GenerateProposals type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1178924Z WARNING: The shape inference of _caffe2::GenerateProposals type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1253037Z WARNING: The shape inference of _caffe2::GenerateProposals type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1253892Z WARNING: The shape inference of _caffe2::GenerateProposals type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1255695Z WARNING: The shape inference of _caffe2::GenerateProposals type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1256570Z WARNING: The shape inference of _caffe2::GenerateProposals type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1313885Z WARNING: The shape inference of _caffe2::GenerateProposals type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1314953Z WARNING: The shape inference of _caffe2::GenerateProposals type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1316068Z WARNING: The shape inference of _caffe2::GenerateProposals type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1316957Z WARNING: The shape inference of _caffe2::GenerateProposals type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:37:14.1485679Z  test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10.test_c2_generate_proposals ✓88% ████████▊ WARNING: The shape inference of _caffe2::InferenceLSTM type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1486793Z WARNING: The shape inference of _caffe2::InferenceLSTM type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1487607Z WARNING: The shape inference of _caffe2::InferenceLSTM type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1488508Z WARNING: The shape inference of _caffe2::InferenceLSTM type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1489570Z WARNING: The shape inference of _caffe2::InferenceLSTM type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1490360Z WARNING: The shape inference of _caffe2::InferenceLSTM type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1691583Z WARNING: The shape inference of _caffe2::InferenceLSTM type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1692429Z WARNING: The shape inference of _caffe2::InferenceLSTM type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1693466Z WARNING: The shape inference of _caffe2::InferenceLSTM type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1694967Z WARNING: The shape inference of _caffe2::InferenceLSTM type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1695762Z WARNING: The shape inference of _caffe2::InferenceLSTM type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1696616Z WARNING: The shape inference of _caffe2::InferenceLSTM type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1859095Z WARNING: The shape inference of _caffe2::InferenceLSTM type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1860456Z WARNING: The shape inference of _caffe2::InferenceLSTM type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1861298Z WARNING: The shape inference of _caffe2::InferenceLSTM type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1863895Z WARNING: The shape inference of _caffe2::InferenceLSTM type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1864680Z WARNING: The shape inference of _caffe2::InferenceLSTM type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1865474Z WARNING: The shape inference of _caffe2::InferenceLSTM type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:37:14.1974565Z  test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10.test_c2_inference_lstm ✓88% ████████▊ WARNING: The shape inference of _caffe2::RoIAlign type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.1975642Z WARNING: The shape inference of _caffe2::RoIAlign type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.2030024Z WARNING: The shape inference of _caffe2::RoIAlign type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.2032194Z WARNING: The shape inference of _caffe2::RoIAlign type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.2071743Z WARNING: The shape inference of _caffe2::RoIAlign type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:14.2073483Z WARNING: The shape inference of _caffe2::RoIAlign type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:37:14.2277948Z  test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10.test_c2_roi_align ✓88% ████████▊ 
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2022-05-18T04:37:16.5594763Z   %onnx::Mul_1 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Constant[value=<Tensor>, onnx_name="Constant_0"]()
2022-05-18T04:37:16.5595233Z   %2 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Mul[onnx_name="Mul_1"](%onnx::Mul_0, %onnx::Mul_1) # /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:1687:0
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2022-05-18T04:37:18.3275874Z       %fc1.bias : Float(10, 5, strides=[5, 1], requires_grad=1, device=cpu),
2022-05-18T04:37:18.3276302Z       %fc1.bias.1 : Float(10, strides=[1], requires_grad=1, device=cpu)):
2022-05-18T04:37:18.3277228Z   %3 : Float(7, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_0"](%input1, %fc1.bias, %fc1.bias.1) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:37:18.3277758Z   return (%3)
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2022-05-18T04:37:18.3399288Z       %parameter1 : Float(10, 5, strides=[5, 1], requires_grad=1, device=cpu),
2022-05-18T04:37:18.3399801Z       %parameter2 : Float(10, strides=[1], requires_grad=1, device=cpu)):
2022-05-18T04:37:18.3401331Z   %3 : Float(7, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_0"](%input1, %parameter1, %parameter2) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:37:18.3402017Z   return (%3)
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2022-05-18T04:37:42.4940936Z WARNING: The shape inference of _caffe2::GenerateProposals type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.4941734Z WARNING: The shape inference of _caffe2::RoIAlign type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.4942526Z WARNING: The shape inference of _caffe2::GenerateProposals type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.4943330Z WARNING: The shape inference of _caffe2::GenerateProposals type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.4944179Z WARNING: The shape inference of _caffe2::RoIAlign type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.5299291Z WARNING: The shape inference of _caffe2::GenerateProposals type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.5300116Z WARNING: The shape inference of _caffe2::GenerateProposals type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.5301717Z WARNING: The shape inference of _caffe2::RoIAlign type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.5302511Z WARNING: The shape inference of _caffe2::GenerateProposals type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.5303295Z WARNING: The shape inference of _caffe2::GenerateProposals type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.5304071Z WARNING: The shape inference of _caffe2::RoIAlign type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.5643110Z WARNING: The shape inference of _caffe2::GenerateProposals type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:37:43.3380745Z WARNING: The shape inference of _caffe2::Range type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:37:43.3481854Z WARNING: The shape inference of _caffe2::Range type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:43.3486013Z WARNING: The shape inference of _caffe2::Range type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:37:59.5282650Z WARNING: The shape inference of _caffe2::BBoxTransform type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.5283595Z WARNING: The shape inference of _caffe2::BBoxTransform type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.5339259Z WARNING: The shape inference of _caffe2::BBoxTransform type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:37:59.5341194Z WARNING: The shape inference of _caffe2::BBoxTransform type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.5341995Z WARNING: The shape inference of _caffe2::BBoxTransform type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:38:02.2652495Z   %onnx::Mul_1 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Constant[value=<Tensor>, onnx_name="Constant_0"]()
2022-05-18T04:38:02.2653292Z   %2 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Mul[onnx_name="Mul_1"](%onnx::Mul_0, %onnx::Mul_1) # /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:1687:0
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2022-05-18T04:38:05.7855243Z       %fc1.bias : Float(10, 5, strides=[5, 1], requires_grad=1, device=cpu),
2022-05-18T04:38:05.7855861Z       %fc1.bias.1 : Float(10, strides=[1], requires_grad=1, device=cpu)):
2022-05-18T04:38:05.7856966Z   %3 : Float(7, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_0"](%input1, %fc1.bias, %fc1.bias.1) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:38:05.7857658Z   return (%3)
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2022-05-18T04:38:05.7978194Z       %parameter1 : Float(10, 5, strides=[5, 1], requires_grad=1, device=cpu),
2022-05-18T04:38:05.7978682Z       %parameter2 : Float(10, strides=[1], requires_grad=1, device=cpu)):
2022-05-18T04:38:05.7979871Z   %3 : Float(7, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="Gemm_0"](%input1, %parameter1, %parameter2) # /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py:112:0
2022-05-18T04:38:05.7980549Z   return (%3)
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2022-05-18T04:38:29.8066274Z  test/onnx/test_pytorch_common.py::TestCaffe2BackendEmbed_opset9_new_jit_API.test_word_language_model_RNN_TANH s99% █████████▉WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:29.8098351Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:29.8099603Z WARNING: The shape inference of _caffe2::Int8AveragePool type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:29.8100915Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:29.8133330Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:29.8136321Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:29.8137154Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:29.8137956Z WARNING: The shape inference of _caffe2::Int8AveragePool type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:29.8139019Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:29.8139798Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:29.8451378Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:29.8452218Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:29.8453292Z WARNING: The shape inference of _caffe2::Int8AveragePool type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:29.8454105Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:29.8454906Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:38:29.9278471Z  test/onnx/test_pytorch_onnx_caffe2_quantized.py::TestQuantizedOps.test_avg_pool2d ✓99% █████████▉WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:29.9312099Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:29.9376460Z WARNING: The shape inference of _caffe2::Int8Concat type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:29.9408557Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:29.9410911Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:29.9411762Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:29.9412546Z WARNING: The shape inference of _caffe2::Int8Concat type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:29.9413314Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:29.9426723Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:29.9427519Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:29.9428598Z WARNING: The shape inference of _caffe2::Int8Concat type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:29.9429386Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:38:30.1110093Z  test/onnx/test_pytorch_onnx_caffe2_quantized.py::TestQuantizedOps.test_cat ✓99% █████████▉WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.1173836Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.1180564Z WARNING: The shape inference of _caffe2::Int8MaxPool type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.1186594Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.1321884Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.1322614Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.1323409Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.1324063Z WARNING: The shape inference of _caffe2::Int8MaxPool type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.1324728Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.1325389Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.1445451Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.1446295Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.1447351Z WARNING: The shape inference of _caffe2::Int8MaxPool type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.1452336Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.1457254Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:38:30.4450475Z  test/onnx/test_pytorch_onnx_caffe2_quantized.py::TestQuantizedOps.test_max_pool2d ✓99% █████████▉WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.4682386Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.4733024Z WARNING: The shape inference of _caffe2::Int8Conv type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.4780227Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.4827011Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.4831334Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.4832375Z WARNING: The shape inference of _caffe2::Int8GivenTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.4833438Z WARNING: The shape inference of _caffe2::Int8GivenIntTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.4834473Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.4835203Z WARNING: The shape inference of _caffe2::Int8Conv type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.4835743Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.4836294Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.5015873Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.5016799Z WARNING: The shape inference of _caffe2::Int8GivenTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.5017886Z WARNING: The shape inference of _caffe2::Int8GivenIntTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.5018854Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.5019512Z WARNING: The shape inference of _caffe2::Int8Conv type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.5020145Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.5021061Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:38:30.5485466Z  test/onnx/test_pytorch_onnx_caffe2_quantized.py::TestQuantizedOps.test_qconv_model ✓99% █████████▉[W TensorImpl.h:1393] Warning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (function operator())
2022-05-18T04:38:30.8554507Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.8597691Z WARNING: The shape inference of _caffe2::Int8FC type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.8639136Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.8644057Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.8645045Z WARNING: The shape inference of _caffe2::Int8GivenTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.8646131Z WARNING: The shape inference of _caffe2::Int8GivenIntTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.8646941Z WARNING: The shape inference of _caffe2::Int8FC type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.8647710Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.8936759Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.8943193Z WARNING: The shape inference of _caffe2::Int8GivenTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.8951202Z WARNING: The shape inference of _caffe2::Int8GivenIntTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.8957586Z WARNING: The shape inference of _caffe2::Int8FC type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.8965269Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.9022403Z 
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2022-05-18T04:38:30.9692211Z  test/onnx/test_pytorch_onnx_caffe2_quantized.py::TestQuantizedOps.test_qlinear_model ✓99% █████████▉WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.9722464Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.9755691Z WARNING: The shape inference of _caffe2::Int8Add type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.9787562Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.9790101Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.9791112Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.9791890Z WARNING: The shape inference of _caffe2::Int8Add type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.9792658Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.9804178Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.9804962Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.9805765Z WARNING: The shape inference of _caffe2::Int8Add type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:30.9806558Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
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2022-05-18T04:38:31.0376665Z  test/onnx/test_pytorch_onnx_caffe2_quantized.py::TestQuantizedOps.test_quantized_add ✓99% █████████▉WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.0407296Z WARNING: The shape inference of _caffe2::Int8Relu type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.0438786Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.0440502Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.0441299Z WARNING: The shape inference of _caffe2::Int8Relu type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.0442099Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.0454009Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.0454819Z WARNING: The shape inference of _caffe2::Int8Relu type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.0455682Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.0489433Z 
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2022-05-18T04:38:31.1046713Z  test/onnx/test_pytorch_onnx_caffe2_quantized.py::TestQuantizedOps.test_quantized_relu ✓99% █████████▉WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.1078636Z WARNING: The shape inference of _caffe2::Int8Sigmoid type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.1110141Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.1111661Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.1112478Z WARNING: The shape inference of _caffe2::Int8Sigmoid type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.1113308Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.1125365Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.1126155Z WARNING: The shape inference of _caffe2::Int8Sigmoid type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.1126950Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.1161308Z 
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2022-05-18T04:38:31.1680105Z  test/onnx/test_pytorch_onnx_caffe2_quantized.py::TestQuantizedOps.test_quantized_sigmoid ✓99% ██████████WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.1709820Z WARNING: The shape inference of _caffe2::Int8Reshape type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.1742809Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.1745477Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.1746579Z WARNING: The shape inference of _caffe2::Int8Reshape type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.1747381Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.1758917Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.1759720Z WARNING: The shape inference of _caffe2::Int8Reshape type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.1760622Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:31.1797570Z 
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2022-05-18T04:38:32.2210941Z  test/onnx/test_pytorch_onnx_caffe2_quantized.py::TestQuantizedOps.test_reshape ✓99% ██████████WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.2451828Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.2500959Z WARNING: The shape inference of _caffe2::Int8ConvRelu type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.2709252Z WARNING: The shape inference of _caffe2::Int8ConvRelu type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.2874006Z WARNING: The shape inference of _caffe2::Int8ConvRelu type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3043637Z WARNING: The shape inference of _caffe2::Int8ConvRelu type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3076295Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3113134Z WARNING: The shape inference of _caffe2::Int8Reshape type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3148137Z WARNING: The shape inference of _caffe2::Int8FC type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3182198Z WARNING: The shape inference of _caffe2::Int8Relu type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3215272Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3225026Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3226156Z WARNING: The shape inference of _caffe2::Int8GivenTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3226981Z WARNING: The shape inference of _caffe2::Int8GivenIntTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3227756Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3228529Z WARNING: The shape inference of _caffe2::Int8ConvRelu type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3229325Z WARNING: The shape inference of _caffe2::Int8GivenTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3230211Z WARNING: The shape inference of _caffe2::Int8GivenIntTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3231016Z WARNING: The shape inference of _caffe2::Int8ConvRelu type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3231796Z WARNING: The shape inference of _caffe2::Int8GivenTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3232586Z WARNING: The shape inference of _caffe2::Int8GivenIntTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3233384Z WARNING: The shape inference of _caffe2::Int8ConvRelu type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3234170Z WARNING: The shape inference of _caffe2::Int8GivenTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3234977Z WARNING: The shape inference of _caffe2::Int8GivenIntTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3235757Z WARNING: The shape inference of _caffe2::Int8ConvRelu type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3236518Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3237306Z WARNING: The shape inference of _caffe2::Int8Reshape type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3238087Z WARNING: The shape inference of _caffe2::Int8GivenTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3238886Z WARNING: The shape inference of _caffe2::Int8GivenIntTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3239649Z WARNING: The shape inference of _caffe2::Int8FC type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3240393Z WARNING: The shape inference of _caffe2::Int8Relu type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.3241198Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.4140228Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.4143461Z WARNING: The shape inference of _caffe2::Int8GivenTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.4145616Z WARNING: The shape inference of _caffe2::Int8GivenIntTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.4149335Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.4151949Z WARNING: The shape inference of _caffe2::Int8ConvRelu type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.4155193Z WARNING: The shape inference of _caffe2::Int8GivenTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.4157343Z WARNING: The shape inference of _caffe2::Int8GivenIntTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.4159602Z WARNING: The shape inference of _caffe2::Int8ConvRelu type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.4161864Z WARNING: The shape inference of _caffe2::Int8GivenTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.4164470Z WARNING: The shape inference of _caffe2::Int8GivenIntTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.4168615Z WARNING: The shape inference of _caffe2::Int8ConvRelu type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.4173213Z WARNING: The shape inference of _caffe2::Int8GivenTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.4177891Z WARNING: The shape inference of _caffe2::Int8GivenIntTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.4182446Z WARNING: The shape inference of _caffe2::Int8ConvRelu type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.4186976Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.4191481Z WARNING: The shape inference of _caffe2::Int8Reshape type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.4196011Z WARNING: The shape inference of _caffe2::Int8GivenTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.4200544Z WARNING: The shape inference of _caffe2::Int8GivenIntTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.4205112Z WARNING: The shape inference of _caffe2::Int8FC type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.4209622Z WARNING: The shape inference of _caffe2::Int8Relu type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.4214133Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.4362798Z 
2022-05-18T04:38:32.4362807Z 
2022-05-18T04:38:32.4372586Z 
2022-05-18T04:38:32.5014286Z  test/onnx/test_pytorch_onnx_caffe2_quantized.py::TestQuantizedOps.test_sequential ✓99% ██████████WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.5048452Z WARNING: The shape inference of _caffe2::Int8Slice type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.5082164Z WARNING: The shape inference of _caffe2::Int8Slice type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.5113786Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.5117241Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.5118032Z WARNING: The shape inference of _caffe2::Int8Slice type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.5118782Z WARNING: The shape inference of _caffe2::Int8Slice type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.5119531Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.5129296Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.5130079Z WARNING: The shape inference of _caffe2::Int8Slice type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.5130830Z WARNING: The shape inference of _caffe2::Int8Slice type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.5131579Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.5169242Z 
2022-05-18T04:38:32.5169249Z 
2022-05-18T04:38:32.5176569Z 
2022-05-18T04:38:32.9421953Z  test/onnx/test_pytorch_onnx_caffe2_quantized.py::TestQuantizedOps.test_slice ✓99% ██████████WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.9468310Z WARNING: The shape inference of _caffe2::Int8Add type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.9700317Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.9749997Z WARNING: The shape inference of _caffe2::Int8Conv type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.9787664Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.9821489Z WARNING: The shape inference of _caffe2::Int8Sigmoid type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:32.9986505Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0024782Z WARNING: The shape inference of _caffe2::Int8Conv type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0057810Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0089528Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0197795Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0198585Z WARNING: The shape inference of _caffe2::Int8Add type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0199370Z WARNING: The shape inference of _caffe2::Int8GivenTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0200445Z WARNING: The shape inference of _caffe2::Int8GivenIntTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0201225Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0202005Z WARNING: The shape inference of _caffe2::Int8Conv type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0202761Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0203676Z WARNING: The shape inference of _caffe2::Int8Sigmoid type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0204443Z WARNING: The shape inference of _caffe2::Int8GivenTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0205264Z WARNING: The shape inference of _caffe2::Int8GivenIntTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0206288Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0207038Z WARNING: The shape inference of _caffe2::Int8Conv type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0207793Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0208560Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0703715Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0708048Z WARNING: The shape inference of _caffe2::Int8Add type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0712140Z WARNING: The shape inference of _caffe2::Int8GivenTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0716235Z WARNING: The shape inference of _caffe2::Int8GivenIntTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0720542Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0724732Z WARNING: The shape inference of _caffe2::Int8Conv type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0728697Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0732678Z WARNING: The shape inference of _caffe2::Int8Sigmoid type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0736100Z WARNING: The shape inference of _caffe2::Int8GivenTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0737583Z WARNING: The shape inference of _caffe2::Int8GivenIntTensorFill type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0739158Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0740384Z WARNING: The shape inference of _caffe2::Int8Conv type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0741452Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0742709Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.0837281Z 
2022-05-18T04:38:33.0838068Z 
2022-05-18T04:38:33.0849154Z 
2022-05-18T04:38:33.1475201Z  test/onnx/test_pytorch_onnx_caffe2_quantized.py::TestQuantizedOps.test_small_model ✓99% ██████████WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.1505775Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.1506613Z WARNING: The shape inference of _caffe2::Int8ResizeNearest type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.1507411Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.1540337Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.1542585Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.1543372Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.1544158Z WARNING: The shape inference of _caffe2::Int8ResizeNearest type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.1544930Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.1545710Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.1554525Z WARNING: The shape inference of _caffe2::Int8Quantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.1555332Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.1556139Z WARNING: The shape inference of _caffe2::Int8ResizeNearest type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.1556936Z WARNING: The shape inference of _caffe2::Int8Transpose type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.1557736Z WARNING: The shape inference of _caffe2::Int8Dequantize type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.1596399Z 
2022-05-18T04:38:33.1596408Z 
2022-05-18T04:38:33.1607820Z 
2022-05-18T04:38:33.1656238Z  test/onnx/test_pytorch_onnx_caffe2_quantized.py::TestQuantizedOps.test_upsample ✓99% ██████████
2022-05-18T04:38:33.1656672Z 
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2022-05-18T04:38:33.1678068Z  test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference.test_broadcast_matmul ✓99% ██████████
2022-05-18T04:38:33.1678972Z 
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2022-05-18T04:38:33.1706569Z  test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference.test_cast ✓99% ██████████
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2022-05-18T04:38:33.1732032Z  test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference.test_constant_of_shape ✓99% ██████████
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2022-05-18T04:38:33.1764077Z  test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference.test_constant_of_shape_dynamic ✓99% ██████████
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2022-05-18T04:38:33.1790145Z  test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference.test_constant_of_shape_static ✓99% ██████████
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2022-05-18T04:38:33.1814775Z  test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference.test_expand ✓99% ██████████
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2022-05-18T04:38:33.1840314Z  test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference.test_gather_dynamic_index ✓99% ██████████
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2022-05-18T04:38:33.1859497Z  test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference.test_gather_scalar_index ✓99% ██████████WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.1860810Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:33.1868160Z 
2022-05-18T04:38:33.1868271Z 
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2022-05-18T04:38:33.1909406Z  test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference.test_pad ✓99% ██████████
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2022-05-18T04:38:33.1934521Z  test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference.test_reshape ✓99% ██████████
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2022-05-18T04:38:33.1957994Z  test/onnx/test_pytorch_common.py::TestONNXShapeInference.test_reshape_allowzero ✓99% ██████████
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2022-05-18T04:38:33.1985342Z  test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference.test_reshape_symbolic ✓99% ██████████
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2022-05-18T04:38:33.2229425Z  ../../../../opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py::TestONNXExport.test_clip_aten_fallback_due_exception s99% ██████████
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2022-05-18T04:38:33.2410764Z  ../../../../opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py::TestONNXExport.test_clip_aten_fallback_explicit_request s99% ██████████
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2022-05-18T04:38:33.2592593Z  test/onnx/test_onnx_export.py::TestONNXExport.test_to__cpu_string ✓99% ██████████
2022-05-18T04:38:33.2593156Z 
2022-05-18T04:38:33.2599380Z 
2022-05-18T04:38:33.2619715Z  test/onnx/test_onnx_export.py::TestONNXExport.test_to__device_cpu_string ✓100% ██████████/opt/conda/lib/python3.7/site-packages/coverage/control.py:793: CoverageWarning: No data was collected. (no-data-collected)
2022-05-18T04:38:33.2620593Z   self._warn("No data was collected.", slug="no-data-collected")
2022-05-18T04:38:34.0362278Z 
2022-05-18T04:38:34.0420542Z =============================== warnings summary ===============================
2022-05-18T04:38:34.0421333Z ../.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:207
2022-05-18T04:38:34.0422176Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:207: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
2022-05-18T04:38:34.0423035Z     def resize(img, size, interpolation=Image.BILINEAR):
2022-05-18T04:38:34.0423298Z 
2022-05-18T04:38:34.0423724Z ../.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:280
2022-05-18T04:38:34.0424600Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:280: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
2022-05-18T04:38:34.0425093Z     def perspective(img, perspective_coeffs, interpolation=Image.BICUBIC, fill=None):
2022-05-18T04:38:34.0425297Z 
2022-05-18T04:38:34.0425529Z ../../../../opt/conda/lib/python3.7/site-packages/past/builtins/misc.py:45
2022-05-18T04:38:34.0426127Z   /opt/conda/lib/python3.7/site-packages/past/builtins/misc.py:45: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
2022-05-18T04:38:34.0426662Z     from imp import reload
2022-05-18T04:38:34.0426785Z 
2022-05-18T04:38:34.0426986Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_arithmetic_prim_bool
2022-05-18T04:38:34.0427433Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_arithmetic_prim_bool
2022-05-18T04:38:34.0428002Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_arithmetic_prim_bool
2022-05-18T04:38:34.0429330Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2217: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0430022Z     if z:
2022-05-18T04:38:34.0430184Z 
2022-05-18T04:38:34.0430374Z test/onnx/test_pytorch_onnx_onnxruntime.py: 77 warnings
2022-05-18T04:38:34.0430766Z test/onnx/test_utility_funs.py: 189 warnings
2022-05-18T04:38:34.0431143Z test/onnx/test_pytorch_onnx_caffe2.py: 29 warnings
2022-05-18T04:38:34.0432254Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input x
2022-05-18T04:38:34.0432878Z     key
2022-05-18T04:38:34.0433037Z 
2022-05-18T04:38:34.0433272Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_baddbmm
2022-05-18T04:38:34.0433803Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_baddbmm
2022-05-18T04:38:34.0434361Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_baddbmm
2022-05-18T04:38:34.0435470Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7625: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0436531Z     input, batch1, batch2, alpha=torch.tensor(5), beta=3.5
2022-05-18T04:38:34.0436684Z 
2022-05-18T04:38:34.0436812Z test/onnx/test_pytorch_onnx_onnxruntime.py: 6 warnings
2022-05-18T04:38:34.0437130Z test/onnx/test_utility_funs.py: 7 warnings
2022-05-18T04:38:34.0438273Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:1139: UserWarning: ONNX export mode is set to inference mode, but operator batch_norm is set to training  mode. The operators will be exported in training , as specified by the functional operator.
2022-05-18T04:38:34.0439085Z     + ", as specified by the functional operator."
2022-05-18T04:38:34.0439280Z 
2022-05-18T04:38:34.0439571Z test/onnx/test_pytorch_onnx_onnxruntime.py: 24 warnings
2022-05-18T04:38:34.0439972Z test/onnx/test_pytorch_onnx_caffe2.py: 8 warnings
2022-05-18T04:38:34.0441327Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2352: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0442145Z     if size_prods == 1:
2022-05-18T04:38:34.0442338Z 
2022-05-18T04:38:34.0442567Z test/onnx/test_pytorch_onnx_onnxruntime.py: 25 warnings
2022-05-18T04:38:34.0443235Z test/onnx/test_utility_funs.py: 21 warnings
2022-05-18T04:38:34.0444856Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:438: UserWarning: It is recommended that constant folding be turned off ('do_constant_folding=False') when exporting the model in training-amenable mode, i.e. with 'training=TrainingMode.TRAIN' or 'training=TrainingMode.PRESERVE' (when model is in training mode). Otherwise, some learnable model parameters may not translate correctly in the exported ONNX model because constant folding mutates model parameters. Please consider turning off constant folding or setting the training=TrainingMode.EVAL.
2022-05-18T04:38:34.0446093Z     "It is recommended that constant folding be turned off ('do_constant_folding=False') "
2022-05-18T04:38:34.0446328Z 
2022-05-18T04:38:34.0446648Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_batchnorm_training
2022-05-18T04:38:34.0447308Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_batchnorm_training_mode_fix_layer
2022-05-18T04:38:34.0447684Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_conv_bn
2022-05-18T04:38:34.0448038Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_instancenorm_training
2022-05-18T04:38:34.0448566Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_instancenorm_training_mode_fix_layer
2022-05-18T04:38:34.0449203Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_multiple_conv_bn
2022-05-18T04:38:34.0450348Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:75: UserWarning: You are exporting the model in training mode with onnx opset version 7. Opset versions lower than opset 12 will not be able to export nodes such as Dropout and BatchNorm correctly.
2022-05-18T04:38:34.0450813Z     GLOBALS.export_onnx_opset_version
2022-05-18T04:38:34.0450953Z 
2022-05-18T04:38:34.0451120Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_bitshift
2022-05-18T04:38:34.0451485Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_bitshift
2022-05-18T04:38:34.0452057Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_bitshift
2022-05-18T04:38:34.0453030Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3936: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0454002Z     input >> torch.tensor([1, 2]),
2022-05-18T04:38:34.0454234Z 
2022-05-18T04:38:34.0454529Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_derive_index
2022-05-18T04:38:34.0455109Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_derive_index
2022-05-18T04:38:34.0455770Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_derive_index
2022-05-18T04:38:34.0456792Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9340: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:38:34.0457676Z     for idx in range(len(x) - 1, -len(x), -2):
2022-05-18T04:38:34.0457900Z 
2022-05-18T04:38:34.0458193Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_derive_index
2022-05-18T04:38:34.0458694Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_derive_index
2022-05-18T04:38:34.0459170Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_derive_index
2022-05-18T04:38:34.0460096Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9351: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:38:34.0460828Z     for idx in range(-len(x), len(x) - 1, 2):
2022-05-18T04:38:34.0460958Z 
2022-05-18T04:38:34.0461128Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_derive_index
2022-05-18T04:38:34.0461484Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_derive_index
2022-05-18T04:38:34.0461918Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_derive_index
2022-05-18T04:38:34.0462699Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9362: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:38:34.0463295Z     for idx in range(len(x) - 1, -len(x), -3):
2022-05-18T04:38:34.0463514Z 
2022-05-18T04:38:34.0463831Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_derive_index
2022-05-18T04:38:34.0464426Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_derive_index
2022-05-18T04:38:34.0465054Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_derive_index
2022-05-18T04:38:34.0466006Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9372: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:38:34.0466804Z     for idx in range(-len(x), len(x) - 1, 3):
2022-05-18T04:38:34.0467054Z 
2022-05-18T04:38:34.0467250Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_floor_div
2022-05-18T04:38:34.0468316Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: floor_divide is deprecated, and will be removed in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values.
2022-05-18T04:38:34.0469810Z   To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/BinaryOps.cpp:599.)
2022-05-18T04:38:34.0470403Z     return callable(*args, **kwargs)
2022-05-18T04:38:34.0470613Z 
2022-05-18T04:38:34.0470934Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_floor_div
2022-05-18T04:38:34.0471459Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_floor_div
2022-05-18T04:38:34.0471822Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_floor_div
2022-05-18T04:38:34.0473473Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2269: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:38:34.0474475Z     x // 3,
2022-05-18T04:38:34.0474648Z 
2022-05-18T04:38:34.0474961Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_floor_div
2022-05-18T04:38:34.0475570Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_floor_div
2022-05-18T04:38:34.0476102Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_floor_div
2022-05-18T04:38:34.0477774Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2270: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:38:34.0478733Z     x // 2.0,
2022-05-18T04:38:34.0478902Z 
2022-05-18T04:38:34.0479163Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_floor_div
2022-05-18T04:38:34.0479718Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_floor_div
2022-05-18T04:38:34.0480395Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_floor_div
2022-05-18T04:38:34.0482175Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2271: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:38:34.0483338Z     x.to(dtype=torch.float64) // 3,
2022-05-18T04:38:34.0483546Z 
2022-05-18T04:38:34.0483817Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_floor_div
2022-05-18T04:38:34.0484356Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_floor_div
2022-05-18T04:38:34.0484905Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_floor_div
2022-05-18T04:38:34.0486650Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2272: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:38:34.0487523Z     x.to(dtype=torch.float64) // 2.0,
2022-05-18T04:38:34.0487744Z 
2022-05-18T04:38:34.0487997Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_floor_div
2022-05-18T04:38:34.0488604Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_floor_div
2022-05-18T04:38:34.0489211Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_floor_div
2022-05-18T04:38:34.0490845Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2273: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:38:34.0491801Z     x.to(dtype=torch.int64) // 3,
2022-05-18T04:38:34.0492005Z 
2022-05-18T04:38:34.0492273Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_floor_div
2022-05-18T04:38:34.0492820Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_floor_div
2022-05-18T04:38:34.0493363Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_floor_div
2022-05-18T04:38:34.0494835Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2274: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:38:34.0495944Z     x.to(dtype=torch.int64) // 2.0,
2022-05-18T04:38:34.0496140Z 
2022-05-18T04:38:34.0496398Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_floor_div
2022-05-18T04:38:34.0496977Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_floor_div
2022-05-18T04:38:34.0497601Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_floor_div
2022-05-18T04:38:34.0499287Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2275: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:38:34.0500437Z     x // (y + 1.0).to(dtype=torch.int64),
2022-05-18T04:38:34.0500663Z 
2022-05-18T04:38:34.0500929Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_floor_div
2022-05-18T04:38:34.0501372Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_floor_div
2022-05-18T04:38:34.0501886Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_floor_div
2022-05-18T04:38:34.0503340Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2276: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:38:34.0504362Z     x // y,
2022-05-18T04:38:34.0504525Z 
2022-05-18T04:38:34.0504699Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_floor_div
2022-05-18T04:38:34.0505315Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_floor_div
2022-05-18T04:38:34.0505787Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_floor_div
2022-05-18T04:38:34.0507468Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2277: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:38:34.0508484Z     x.to(dtype=torch.float64) // y.to(dtype=torch.int64),
2022-05-18T04:38:34.0508731Z 
2022-05-18T04:38:34.0509320Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_floor_div
2022-05-18T04:38:34.0509862Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_floor_div
2022-05-18T04:38:34.0510389Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_floor_div
2022-05-18T04:38:34.0511891Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2278: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:38:34.0512860Z     x.to(dtype=torch.float64) // y.to(dtype=torch.float64),
2022-05-18T04:38:34.0513109Z 
2022-05-18T04:38:34.0513366Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_floor_div
2022-05-18T04:38:34.0513873Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_floor_div
2022-05-18T04:38:34.0514381Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_floor_div
2022-05-18T04:38:34.0515835Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2279: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:38:34.0516476Z     x.to(dtype=torch.int64) // y.to(dtype=torch.int64),
2022-05-18T04:38:34.0516634Z 
2022-05-18T04:38:34.0516801Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_floor_div
2022-05-18T04:38:34.0517291Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_floor_div
2022-05-18T04:38:34.0517645Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_floor_div
2022-05-18T04:38:34.0518650Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2280: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:38:34.0519362Z     x.to(dtype=torch.int64) // y,
2022-05-18T04:38:34.0519559Z 
2022-05-18T04:38:34.0519709Z test/onnx/test_pytorch_onnx_onnxruntime.py: 6 warnings
2022-05-18T04:38:34.0520018Z test/onnx/test_pytorch_onnx_caffe2.py: 8 warnings
2022-05-18T04:38:34.0521095Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2464: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:38:34.0521931Z     _verify_batch_size([input.size(0) * input.size(1) // num_groups, num_groups] + list(input.size()[2:]))
2022-05-18T04:38:34.0522131Z 
2022-05-18T04:38:34.0522258Z test/onnx/test_pytorch_onnx_onnxruntime.py: 58 warnings
2022-05-18T04:38:34.0522508Z test/onnx/test_utility_funs.py: 7 warnings
2022-05-18T04:38:34.0523462Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with GRU can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:38:34.0524047Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:38:34.0524212Z 
2022-05-18T04:38:34.0524341Z test/onnx/test_pytorch_onnx_onnxruntime.py: 224 warnings
2022-05-18T04:38:34.0524589Z test/onnx/test_utility_funs.py: 7 warnings
2022-05-18T04:38:34.0525361Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:204: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0525931Z     if self.input_size != input.size(-1):
2022-05-18T04:38:34.0526072Z 
2022-05-18T04:38:34.0526199Z test/onnx/test_pytorch_onnx_onnxruntime.py: 224 warnings
2022-05-18T04:38:34.0526450Z test/onnx/test_utility_funs.py: 7 warnings
2022-05-18T04:38:34.0527224Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:225: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0527743Z     if hx.size() != expected_hidden_size:
2022-05-18T04:38:34.0527880Z 
2022-05-18T04:38:34.0528065Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_heatmaps_to_keypoints
2022-05-18T04:38:34.0528432Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_heatmaps_to_keypoints
2022-05-18T04:38:34.0528803Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_heatmaps_to_keypoints
2022-05-18T04:38:34.0529857Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/roi_heads.py:269: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:38:34.0530906Z     y_int = (pos - x_int) // w
2022-05-18T04:38:34.0531037Z 
2022-05-18T04:38:34.0531324Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_index_select_constant_scaler_index
2022-05-18T04:38:34.0531726Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_index_select_constant_scaler_index
2022-05-18T04:38:34.0532131Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_index_select_constant_scaler_index
2022-05-18T04:38:34.0532861Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4018: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0533451Z     return torch.index_select(x, 1, torch.tensor(index))
2022-05-18T04:38:34.0533607Z 
2022-05-18T04:38:34.0533721Z test/onnx/test_pytorch_onnx_onnxruntime.py: 9 warnings
2022-05-18T04:38:34.0533974Z test/onnx/test_custom_ops.py: 1 warning
2022-05-18T04:38:34.0534223Z test/onnx/test_pytorch_onnx_caffe2.py: 116 warnings
2022-05-18T04:38:34.0535163Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:56: UserWarning: You are exporting the model to ONNX while in training mode with 'train' parameter not specified. The model will default to inference mode export. If you wish to export a training amenable ONNX model, specify training=TrainingMode.TRAINING or training=TrainingMode.PRESERVE (to preserve the original model state) in torch.onnx.export().
2022-05-18T04:38:34.0535942Z     "You are exporting the model to ONNX while in training mode with "
2022-05-18T04:38:34.0536104Z 
2022-05-18T04:38:34.0536235Z test/onnx/test_pytorch_onnx_onnxruntime.py: 12 warnings
2022-05-18T04:38:34.0536501Z test/onnx/test_pytorch_onnx_caffe2.py: 4 warnings
2022-05-18T04:38:34.0537192Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:1139: UserWarning: ONNX export mode is set to inference mode, but operator instance_norm is set to training  mode. The operators will be exported in training , as specified by the functional operator.
2022-05-18T04:38:34.0537671Z     + ", as specified by the functional operator."
2022-05-18T04:38:34.0537811Z 
2022-05-18T04:38:34.0537935Z test/onnx/test_pytorch_onnx_onnxruntime.py: 18 warnings
2022-05-18T04:38:34.0538200Z test/onnx/test_pytorch_onnx_caffe2.py: 4 warnings
2022-05-18T04:38:34.0538978Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2397: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0539540Z     if size_prods == 1:
2022-05-18T04:38:34.0539738Z 
2022-05-18T04:38:34.0540114Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_interpolate_adaptive_pooling_error
2022-05-18T04:38:34.0540648Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_interpolate_adaptive_pooling_error
2022-05-18T04:38:34.0541067Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_interpolate_adaptive_pooling_error
2022-05-18T04:38:34.0541721Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:432: UserWarning: ONNX export failed on adaptive_avg_pool1d because output size that are not factor of input size not supported
2022-05-18T04:38:34.0542143Z     "ONNX export failed on " + op + " because " + msg + " not supported"
2022-05-18T04:38:34.0542362Z 
2022-05-18T04:38:34.0542565Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_interpolate_adaptive_pooling_error
2022-05-18T04:38:34.0542986Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_interpolate_adaptive_pooling_error
2022-05-18T04:38:34.0543402Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_interpolate_adaptive_pooling_error
2022-05-18T04:38:34.0544507Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3846: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0545265Z     for i in range(dim)
2022-05-18T04:38:34.0545417Z 
2022-05-18T04:38:34.0545613Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_interpolate_upsample_trace
2022-05-18T04:38:34.0546013Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_interpolate_upsample
2022-05-18T04:38:34.0546414Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_upsample
2022-05-18T04:38:34.0546790Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_interpolate_upsample
2022-05-18T04:38:34.0547169Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_upsample
2022-05-18T04:38:34.0547883Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:610: UserWarning: You are trying to export the model with onnx:Upsample for ONNX opset version 7. This operator might cause results to not match the expected results by PyTorch.
2022-05-18T04:38:34.0548750Z   ONNX's Upsample/Resize operator did not match Pytorch's Interpolation until opset 11. Attributes to determine how to transform the input were added in onnx:Resize in opset 11 to support Pytorch's behavior (like coordinate_transformation_mode and nearest_mode).
2022-05-18T04:38:34.0549259Z   We recommend using opset 11 and above for models using this operator.
2022-05-18T04:38:34.0549559Z     "" + str(GLOBALS.export_onnx_opset_version) + ". "
2022-05-18T04:38:34.0549715Z 
2022-05-18T04:38:34.0549889Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_lower_tuple
2022-05-18T04:38:34.0550794Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_lower_tuple
2022-05-18T04:38:34.0551297Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_lower_tuple
2022-05-18T04:38:34.0552205Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9174: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0552763Z     if f.size(0) != input1.size(-1):
2022-05-18T04:38:34.0552902Z 
2022-05-18T04:38:34.0553064Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_lower_tuple_3
2022-05-18T04:38:34.0553427Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_lower_tuple_3
2022-05-18T04:38:34.0553785Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_lower_tuple_3
2022-05-18T04:38:34.0554630Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9215: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0555132Z     if c.shape[0] == e.shape[0]:
2022-05-18T04:38:34.0555258Z 
2022-05-18T04:38:34.0555384Z test/onnx/test_pytorch_onnx_onnxruntime.py: 64 warnings
2022-05-18T04:38:34.0556224Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with LSTM can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:38:34.0556863Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:38:34.0557028Z 
2022-05-18T04:38:34.0557272Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_max_int
2022-05-18T04:38:34.0557744Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_max_tensors
2022-05-18T04:38:34.0558243Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_max_tensors
2022-05-18T04:38:34.0559669Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset7.py:37: UserWarning: Multidirectional broadcasting is not supported in opset 7. This might cause the onnx model to be incorrect, if inputs to max operators have different shapes
2022-05-18T04:38:34.0560432Z     "Multidirectional broadcasting is not supported in opset 7. "
2022-05-18T04:38:34.0560711Z 
2022-05-18T04:38:34.0561087Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_min_int
2022-05-18T04:38:34.0562024Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset7.py:48: UserWarning: Multidirectional broadcasting is not supported in opset 7. This might cause the onnx model to be incorrect, if inputs to min operators have different shapes
2022-05-18T04:38:34.0562514Z     "Multidirectional broadcasting is not supported in opset 7. "
2022-05-18T04:38:34.0562757Z 
2022-05-18T04:38:34.0563036Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_paste_mask_in_image
2022-05-18T04:38:34.0563405Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_paste_mask_in_image
2022-05-18T04:38:34.0564021Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_paste_mask_in_image
2022-05-18T04:38:34.0565793Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/roi_heads.py:372: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0566807Z     return torch.tensor(M + 2 * padding).to(torch.float32) / torch.tensor(M).to(torch.float32)
2022-05-18T04:38:34.0567121Z 
2022-05-18T04:38:34.0567412Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_paste_mask_in_image
2022-05-18T04:38:34.0568075Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_paste_mask_in_image
2022-05-18T04:38:34.0568613Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_paste_mask_in_image
2022-05-18T04:38:34.0569968Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/roi_heads.py:372: 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).
2022-05-18T04:38:34.0570916Z     return torch.tensor(M + 2 * padding).to(torch.float32) / torch.tensor(M).to(torch.float32)
2022-05-18T04:38:34.0571235Z 
2022-05-18T04:38:34.0571439Z test/onnx/test_pytorch_onnx_onnxruntime.py: 55 warnings
2022-05-18T04:38:34.0573020Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with RNN_TANH can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:38:34.0573740Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:38:34.0574142Z 
2022-05-18T04:38:34.0574330Z test/onnx/test_pytorch_onnx_onnxruntime.py: 131 warnings
2022-05-18T04:38:34.0575872Z   /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py:250: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0576821Z     lengths = torch.as_tensor(lengths, dtype=torch.int64)
2022-05-18T04:38:34.0577076Z 
2022-05-18T04:38:34.0577304Z test/onnx/test_pytorch_onnx_onnxruntime.py: 67 warnings
2022-05-18T04:38:34.0578717Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:436: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0579667Z     max_batch_size = int(batch_sizes[0])
2022-05-18T04:38:34.0579908Z 
2022-05-18T04:38:34.0580167Z test/onnx/test_pytorch_onnx_onnxruntime.py: 131 warnings
2022-05-18T04:38:34.0581514Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:211: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0582256Z     mini_batch = int(batch_sizes[0])
2022-05-18T04:38:34.0582411Z 
2022-05-18T04:38:34.0582601Z test/onnx/test_pytorch_onnx_onnxruntime.py: 131 warnings
2022-05-18T04:38:34.0583910Z   /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py:330: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0584913Z     sequence.data, sequence.batch_sizes, batch_first, padding_value, max_seq_length)
2022-05-18T04:38:34.0585263Z 
2022-05-18T04:38:34.0585477Z test/onnx/test_pytorch_onnx_onnxruntime.py: 9 warnings
2022-05-18T04:38:34.0585934Z test/onnx/test_utility_funs.py: 7 warnings
2022-05-18T04:38:34.0586859Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input_1
2022-05-18T04:38:34.0587300Z     key
2022-05-18T04:38:34.0587441Z 
2022-05-18T04:38:34.0587649Z test/onnx/test_pytorch_onnx_onnxruntime.py: 8 warnings
2022-05-18T04:38:34.0588072Z test/onnx/test_utility_funs.py: 17 warnings
2022-05-18T04:38:34.0588501Z test/onnx/test_pytorch_onnx_caffe2.py: 5 warnings
2022-05-18T04:38:34.0589575Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input y
2022-05-18T04:38:34.0590267Z     key
2022-05-18T04:38:34.0590459Z 
2022-05-18T04:38:34.0590752Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_split_tensor_scalar
2022-05-18T04:38:34.0591360Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_split_tensor_scalar
2022-05-18T04:38:34.0592006Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_split_tensor_scalar
2022-05-18T04:38:34.0593480Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:609: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0594481Z     split_size = int(split_size)
2022-05-18T04:38:34.0594709Z 
2022-05-18T04:38:34.0594909Z test/onnx/test_pytorch_onnx_onnxruntime.py: 6 warnings
2022-05-18T04:38:34.0595249Z test/onnx/test_pytorch_onnx_caffe2.py: 9 warnings
2022-05-18T04:38:34.0596544Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:740: UserWarning: ONNX export squeeze with negative axis -2 might cause the onnx model to be incorrect. Negative axis is not supported in ONNX. Axis is converted to 1 based on input shape at export time. Passing an tensor of different rank in execution will be incorrect.
2022-05-18T04:38:34.0597384Z     + "Passing an tensor of different rank in execution will be incorrect."
2022-05-18T04:38:34.0597673Z 
2022-05-18T04:38:34.0597872Z test/onnx/test_pytorch_onnx_onnxruntime.py: 9 warnings
2022-05-18T04:38:34.0598326Z test/onnx/test_models_onnxruntime.py: 2 warnings
2022-05-18T04:38:34.0598708Z test/onnx/test_pytorch_onnx_caffe2.py: 9 warnings
2022-05-18T04:38:34.0599953Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:778: UserWarning: This model contains a squeeze operation on dimension 1. If the model is intended to be used with dynamic input shapes, please use opset version 11 to export the model.
2022-05-18T04:38:34.0600885Z     + "intended to be used with dynamic input shapes, please use opset version 11 to export the model."
2022-05-18T04:38:34.0601246Z 
2022-05-18T04:38:34.0601576Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0602310Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:38:34.0603157Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_tensor_index_advanced_indexing_ellipsis
2022-05-18T04:38:34.0603853Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0604579Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:38:34.0605337Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.0606047Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0606802Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:38:34.0607568Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.0609276Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:4017: UserWarning: Exporting aten::index operator of advanced indexing in opset 7 is achieved by combination of multiple ONNX operators, including Reshape, Transpose, Concat, and Gather. If indices include negative values, the exported graph will produce incorrect results.
2022-05-18T04:38:34.0610195Z     + "If indices include negative values, the exported graph will produce incorrect results."
2022-05-18T04:38:34.0610539Z 
2022-05-18T04:38:34.0610892Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0611602Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0612248Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0613204Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2784: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0614015Z     torch.tensor([[0, 2], [1, 1]]),
2022-05-18T04:38:34.0614243Z 
2022-05-18T04:38:34.0614424Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0614824Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0615215Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0615958Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2786: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0616504Z     torch.tensor([2, 1]),
2022-05-18T04:38:34.0616617Z 
2022-05-18T04:38:34.0616808Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0617210Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0617878Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0619077Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2787: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0620009Z     torch.tensor([0, 3]),
2022-05-18T04:38:34.0620239Z 
2022-05-18T04:38:34.0620567Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0621296Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0621811Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0622470Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2796: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0623058Z     :, torch.tensor([0, 2]), None, 2:4, torch.tensor([[1, 3], [4, 0]])
2022-05-18T04:38:34.0623216Z 
2022-05-18T04:38:34.0623406Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0623841Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0624551Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0625233Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2805: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0625770Z     torch.tensor([0, 2]),
2022-05-18T04:38:34.0625897Z 
2022-05-18T04:38:34.0626087Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0626483Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0626863Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0627523Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2806: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0628136Z     torch.tensor([1]),
2022-05-18T04:38:34.0628258Z 
2022-05-18T04:38:34.0628450Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0628830Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0629226Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0629939Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2808: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0630480Z     torch.tensor([[1], [4]]),
2022-05-18T04:38:34.0630608Z 
2022-05-18T04:38:34.0630800Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:38:34.0631224Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:38:34.0631648Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:38:34.0632320Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2817: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0632897Z     :, torch.tensor([0, 2]), torch.tensor([[1, 3], [4, 0]]), None
2022-05-18T04:38:34.0633049Z 
2022-05-18T04:38:34.0633238Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_tensor_index_advanced_indexing_ellipsis
2022-05-18T04:38:34.0633655Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_tensor_index_advanced_indexing_ellipsis
2022-05-18T04:38:34.0634066Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_tensor_index_advanced_indexing_ellipsis
2022-05-18T04:38:34.0634741Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2774: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0635329Z     return input[..., torch.tensor([2, 1]), torch.tensor([0, 3])]
2022-05-18T04:38:34.0635477Z 
2022-05-18T04:38:34.0635656Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_transformer_encoder
2022-05-18T04:38:34.0636038Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_transformer_encoder
2022-05-18T04:38:34.0636410Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_transformer_encoder
2022-05-18T04:38:34.0637271Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4995: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0637806Z     assert embed_dim == embed_dim_to_check, \
2022-05-18T04:38:34.0637994Z 
2022-05-18T04:38:34.0638176Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_transformer_encoder
2022-05-18T04:38:34.0638554Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_transformer_encoder
2022-05-18T04:38:34.0638924Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_transformer_encoder
2022-05-18T04:38:34.0639741Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:5002: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0640348Z     assert head_dim * num_heads == embed_dim, f"embed_dim {embed_dim} not divisible by num_heads {num_heads}"
2022-05-18T04:38:34.0640551Z 
2022-05-18T04:38:34.0640730Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_transformer_encoder
2022-05-18T04:38:34.0641113Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_transformer_encoder
2022-05-18T04:38:34.0641498Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_transformer_encoder
2022-05-18T04:38:34.0642323Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:5008: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0643032Z     assert key.shape == value.shape, f"key shape {key.shape} does not match value shape {value.shape}"
2022-05-18T04:38:34.0643238Z 
2022-05-18T04:38:34.0643417Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_transformer_encoder
2022-05-18T04:38:34.0643779Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_transformer_encoder
2022-05-18T04:38:34.0644151Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_transformer_encoder
2022-05-18T04:38:34.0644975Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4798: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0645472Z     q = q / math.sqrt(E)
2022-05-18T04:38:34.0645595Z 
2022-05-18T04:38:34.0645723Z test/onnx/test_pytorch_onnx_onnxruntime.py: 3 warnings
2022-05-18T04:38:34.0645979Z test/onnx/test_pytorch_onnx_caffe2.py: 9 warnings
2022-05-18T04:38:34.0646791Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:2733: UserWarning: ONNX export unsqueeze with negative axis -2 might cause the onnx model to be incorrect. Negative axis is not supported in ONNX. Axis is converted to 2 based on input shape at export time. Passing an tensor of different rank in execution will be incorrect.
2022-05-18T04:38:34.0647379Z     + "Passing an tensor of different rank in execution will be incorrect."
2022-05-18T04:38:34.0647558Z 
2022-05-18T04:38:34.0647728Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7::test_view_dynamic
2022-05-18T04:38:34.0648073Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_view_dynamic
2022-05-18T04:38:34.0648424Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_view_dynamic
2022-05-18T04:38:34.0649083Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input shape
2022-05-18T04:38:34.0649483Z     key
2022-05-18T04:38:34.0649570Z 
2022-05-18T04:38:34.0649698Z test/onnx/test_pytorch_onnx_onnxruntime.py: 51 warnings
2022-05-18T04:38:34.0650542Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with RNN_RELU can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:38:34.0651195Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:38:34.0651360Z 
2022-05-18T04:38:34.0651538Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_batchnorm_training
2022-05-18T04:38:34.0651915Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_batchnorm_training_mode_fix_layer
2022-05-18T04:38:34.0652290Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_conv_bn
2022-05-18T04:38:34.0652654Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_instancenorm_training
2022-05-18T04:38:34.0653052Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_instancenorm_training_mode_fix_layer
2022-05-18T04:38:34.0653464Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_multiple_conv_bn
2022-05-18T04:38:34.0654177Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:75: UserWarning: You are exporting the model in training mode with onnx opset version 8. Opset versions lower than opset 12 will not be able to export nodes such as Dropout and BatchNorm correctly.
2022-05-18T04:38:34.0654627Z     GLOBALS.export_onnx_opset_version
2022-05-18T04:38:34.0654765Z 
2022-05-18T04:38:34.0654955Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_interpolate_upsample_trace
2022-05-18T04:38:34.0655325Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_interpolate_upsample
2022-05-18T04:38:34.0655771Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_upsample
2022-05-18T04:38:34.0656140Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_interpolate_upsample
2022-05-18T04:38:34.0656504Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_upsample
2022-05-18T04:38:34.0657211Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:610: UserWarning: You are trying to export the model with onnx:Upsample for ONNX opset version 8. This operator might cause results to not match the expected results by PyTorch.
2022-05-18T04:38:34.0658085Z   ONNX's Upsample/Resize operator did not match Pytorch's Interpolation until opset 11. Attributes to determine how to transform the input were added in onnx:Resize in opset 11 to support Pytorch's behavior (like coordinate_transformation_mode and nearest_mode).
2022-05-18T04:38:34.0658587Z   We recommend using opset 11 and above for models using this operator.
2022-05-18T04:38:34.0658878Z     "" + str(GLOBALS.export_onnx_opset_version) + ". "
2022-05-18T04:38:34.0659020Z 
2022-05-18T04:38:34.0659185Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_meshgrid
2022-05-18T04:38:34.0659949Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorShape.cpp:2904.)
2022-05-18T04:38:34.0660429Z     return callable(*args, **kwargs)
2022-05-18T04:38:34.0660564Z 
2022-05-18T04:38:34.0660755Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0661151Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:38:34.0661569Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8::test_tensor_index_advanced_indexing_ellipsis
2022-05-18T04:38:34.0661969Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0662366Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:38:34.0662807Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.0663215Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0663635Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:38:34.0664056Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.0665013Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:4017: UserWarning: Exporting aten::index operator of advanced indexing in opset 8 is achieved by combination of multiple ONNX operators, including Reshape, Transpose, Concat, and Gather. If indices include negative values, the exported graph will produce incorrect results.
2022-05-18T04:38:34.0665634Z     + "If indices include negative values, the exported graph will produce incorrect results."
2022-05-18T04:38:34.0665867Z 
2022-05-18T04:38:34.0666042Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_arange_dynamic
2022-05-18T04:38:34.0666716Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input output_1
2022-05-18T04:38:34.0667102Z     key
2022-05-18T04:38:34.0667201Z 
2022-05-18T04:38:34.0667383Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_arange_with_floats_out
2022-05-18T04:38:34.0668360Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 9. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (9,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:38:34.0668956Z     return callable(*args, **kwargs)
2022-05-18T04:38:34.0669088Z 
2022-05-18T04:38:34.0669268Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_arange_with_floats_out
2022-05-18T04:38:34.0669942Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2610: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 9. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (9,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:38:34.0670522Z     return torch.arange(end, out=out_t)
2022-05-18T04:38:34.0670661Z 
2022-05-18T04:38:34.0670839Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_arange_with_floats_out
2022-05-18T04:38:34.0671502Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2609: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0672073Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:38:34.0672220Z 
2022-05-18T04:38:34.0672387Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_arange_with_floats_out
2022-05-18T04:38:34.0673366Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 5. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (5,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:38:34.0673994Z     return callable(*args, **kwargs)
2022-05-18T04:38:34.0674126Z 
2022-05-18T04:38:34.0674306Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_arange_with_floats_out
2022-05-18T04:38:34.0674992Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2618: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 5. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (5,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:38:34.0675590Z     return torch.arange(start.size(0), end, 1.5, out=out_t)
2022-05-18T04:38:34.0675734Z 
2022-05-18T04:38:34.0675912Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_arange_with_floats_out
2022-05-18T04:38:34.0676597Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2617: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0677173Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:38:34.0677321Z 
2022-05-18T04:38:34.0677447Z test/onnx/test_pytorch_onnx_onnxruntime.py: 7 warnings
2022-05-18T04:38:34.0677699Z test/onnx/test_utility_funs.py: 3 warnings
2022-05-18T04:38:34.0678359Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:75: UserWarning: You are exporting the model in training mode with onnx opset version 9. Opset versions lower than opset 12 will not be able to export nodes such as Dropout and BatchNorm correctly.
2022-05-18T04:38:34.0678814Z     GLOBALS.export_onnx_opset_version
2022-05-18T04:38:34.0678959Z 
2022-05-18T04:38:34.0679139Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_dynamic_arange_out
2022-05-18T04:38:34.0680098Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 8. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (8,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:38:34.0680697Z     return callable(*args, **kwargs)
2022-05-18T04:38:34.0680831Z 
2022-05-18T04:38:34.0681007Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_dynamic_arange_out
2022-05-18T04:38:34.0681699Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2561: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 8. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (8,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:38:34.0682277Z     return torch.arange(end, out=out_t)
2022-05-18T04:38:34.0682415Z 
2022-05-18T04:38:34.0682580Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_dynamic_arange_out
2022-05-18T04:38:34.0683352Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2560: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0683927Z     out_t = torch.tensor([1], dtype=torch.int64)
2022-05-18T04:38:34.0684073Z 
2022-05-18T04:38:34.0684316Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_dynamic_arange_start_out
2022-05-18T04:38:34.0685293Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 6. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (6,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:38:34.0685885Z     return callable(*args, **kwargs)
2022-05-18T04:38:34.0686008Z 
2022-05-18T04:38:34.0686193Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_dynamic_arange_start_out
2022-05-18T04:38:34.0686927Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2571: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 6. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (6,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:38:34.0687538Z     return torch.arange(start.size(0), end, out=out_t)
2022-05-18T04:38:34.0687698Z 
2022-05-18T04:38:34.0687881Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_dynamic_arange_start_out
2022-05-18T04:38:34.0688530Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2570: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0689101Z     out_t = torch.tensor([1], dtype=torch.int64)
2022-05-18T04:38:34.0689247Z 
2022-05-18T04:38:34.0689373Z test/onnx/test_pytorch_onnx_onnxruntime.py: 48 warnings
2022-05-18T04:38:34.0690016Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:65: UserWarning: dropout option adds dropout after all but last recurrent layer, so non-zero dropout expects num_layers greater than 1, but got dropout=0.2 and num_layers=1
2022-05-18T04:38:34.0690460Z     "num_layers={}".format(dropout, num_layers))
2022-05-18T04:38:34.0690591Z 
2022-05-18T04:38:34.0690717Z test/onnx/test_pytorch_onnx_onnxruntime.py: 2 warnings
2022-05-18T04:38:34.0690987Z test/onnx/test_pytorch_onnx_caffe2.py: 9 warnings
2022-05-18T04:38:34.0691774Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2130: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0692358Z     assert padding_idx < weight.size(0), "Padding_idx must be within num_embeddings"
2022-05-18T04:38:34.0692550Z 
2022-05-18T04:38:34.0692709Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_embedding
2022-05-18T04:38:34.0693409Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:538: UserWarning: Warning: ONNX export of embedding with padding_idx >= 0 for training mode. ONNX does not support not updating the embedding vector at padding_idx during training.
2022-05-18T04:38:34.0693893Z     "Warning: ONNX export of embedding with padding_idx >= 0 "
2022-05-18T04:38:34.0694056Z 
2022-05-18T04:38:34.0694220Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_eye
2022-05-18T04:38:34.0695035Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6400: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0695672Z     torch.eye(x.size()[1], 3),
2022-05-18T04:38:34.0695801Z 
2022-05-18T04:38:34.0695963Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_eye
2022-05-18T04:38:34.0696812Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6402: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0697340Z     torch.eye(x.size()[1], 2, dtype=torch.long),
2022-05-18T04:38:34.0697474Z 
2022-05-18T04:38:34.0697632Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_eye
2022-05-18T04:38:34.0698457Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6403: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0699002Z     torch.eye(x.shape[0]),
2022-05-18T04:38:34.0699133Z 
2022-05-18T04:38:34.0699295Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_eye
2022-05-18T04:38:34.0700113Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6404: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0700640Z     torch.eye(x.shape[0], dtype=torch.float64),
2022-05-18T04:38:34.0700791Z 
2022-05-18T04:38:34.0700957Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_floordiv
2022-05-18T04:38:34.0701974Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2301: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:38:34.0702618Z     return x.new_zeros(x.size(2) // x.size(1))
2022-05-18T04:38:34.0702759Z 
2022-05-18T04:38:34.0702876Z test/onnx/test_pytorch_onnx_onnxruntime.py: 32 warnings
2022-05-18T04:38:34.0703661Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:918: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0704182Z     max_batch_size = int(max_batch_size)
2022-05-18T04:38:34.0704326Z 
2022-05-18T04:38:34.0704520Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_hann_window_default_values
2022-05-18T04:38:34.0705380Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11822: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0705929Z     return torch.add(x, F.relu(torch.hann_window(self.window_length)))
2022-05-18T04:38:34.0706103Z 
2022-05-18T04:38:34.0706289Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_hann_window_not_periodic
2022-05-18T04:38:34.0707145Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11800: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0707762Z     self.window_length, periodic=False, dtype=torch.float
2022-05-18T04:38:34.0707925Z 
2022-05-18T04:38:34.0708106Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_hann_window_periodic
2022-05-18T04:38:34.0708942Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11778: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0709494Z     self.window_length, periodic=True, dtype=torch.float
2022-05-18T04:38:34.0709658Z 
2022-05-18T04:38:34.0709822Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_if_fold
2022-05-18T04:38:34.0710687Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7859: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0711195Z     if y.numel() > 1:
2022-05-18T04:38:34.0711300Z 
2022-05-18T04:38:34.0711462Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_if_fold
2022-05-18T04:38:34.0712284Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7928: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0712800Z     if y.numel() != 0 and y.dim() == 2:
2022-05-18T04:38:34.0712933Z 
2022-05-18T04:38:34.0713102Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_if_fold
2022-05-18T04:38:34.0713933Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7940: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0714437Z     if x.numel() == y.numel():
2022-05-18T04:38:34.0714560Z 
2022-05-18T04:38:34.0714726Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_if_fold
2022-05-18T04:38:34.0715566Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7952: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0716066Z     if x.numel() != y.numel():
2022-05-18T04:38:34.0716178Z 
2022-05-18T04:38:34.0716367Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_index_add_dim_size_differ
2022-05-18T04:38:34.0716754Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_index_add_dynamic_axes
2022-05-18T04:38:34.0717119Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_index_add_if
2022-05-18T04:38:34.0717467Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_index_add_in_loop
2022-05-18T04:38:34.0717832Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_index_add_normal
2022-05-18T04:38:34.0718476Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:4597: UserWarning: Warning: ONNX export does not support duplicated values in 'index' field, this will cause the ONNX model to be incorrect.
2022-05-18T04:38:34.0719010Z     "Warning: ONNX export does not support duplicated values in 'index' field, "
2022-05-18T04:38:34.0719226Z 
2022-05-18T04:38:34.0732376Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_index_copy
2022-05-18T04:38:34.0733155Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3991: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0733719Z     index = torch.tensor([2, 0])
2022-05-18T04:38:34.0733855Z 
2022-05-18T04:38:34.0734023Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_index_fill
2022-05-18T04:38:34.0734678Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3981: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0735396Z     index = torch.tensor([2, 0])
2022-05-18T04:38:34.0735622Z 
2022-05-18T04:38:34.0735794Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_index_mask
2022-05-18T04:38:34.0736614Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-05-18T04:38:34.0737084Z     return callable(*args, **kwargs)
2022-05-18T04:38:34.0737221Z 
2022-05-18T04:38:34.0737392Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_index_mask
2022-05-18T04:38:34.0737781Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_tensor_index_advanced_indexing_masked
2022-05-18T04:38:34.0738204Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_tensor_index_advanced_indexing_masked
2022-05-18T04:38:34.0738612Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_tensor_index_advanced_indexing_masked
2022-05-18T04:38:34.0739029Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_tensor_index_advanced_indexing_masked
2022-05-18T04:38:34.0739466Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_tensor_index_advanced_indexing_masked
2022-05-18T04:38:34.0740272Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3963: UserWarning: Exporting aten::index operator with indices of type Byte. Only 1-D indices are supported. In any other case, this will produce an incorrect ONNX graph.
2022-05-18T04:38:34.0740742Z     "Exporting aten::index operator with indices of type Byte. "
2022-05-18T04:38:34.0740914Z 
2022-05-18T04:38:34.0741086Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_index_mask
2022-05-18T04:38:34.0741653Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1111: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-05-18T04:38:34.0742154Z     return input[torch.tensor([0, 1, 0], dtype=torch.uint8)]
2022-05-18T04:38:34.0742315Z 
2022-05-18T04:38:34.0742483Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_index_mask
2022-05-18T04:38:34.0743121Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1111: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0743771Z     return input[torch.tensor([0, 1, 0], dtype=torch.uint8)]
2022-05-18T04:38:34.0743931Z 
2022-05-18T04:38:34.0744102Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_index_mask
2022-05-18T04:38:34.0744746Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1118: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0745329Z     return input[torch.tensor([0, 1, 0], dtype=torch.bool)]
2022-05-18T04:38:34.0745473Z 
2022-05-18T04:38:34.0745600Z test/onnx/test_pytorch_onnx_onnxruntime.py: 2 warnings
2022-05-18T04:38:34.0745875Z test/onnx/test_pytorch_onnx_caffe2.py: 9 warnings
2022-05-18T04:38:34.0746532Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:610: UserWarning: You are trying to export the model with onnx:Upsample for ONNX opset version 9. This operator might cause results to not match the expected results by PyTorch.
2022-05-18T04:38:34.0747437Z   ONNX's Upsample/Resize operator did not match Pytorch's Interpolation until opset 11. Attributes to determine how to transform the input were added in onnx:Resize in opset 11 to support Pytorch's behavior (like coordinate_transformation_mode and nearest_mode).
2022-05-18T04:38:34.0747939Z   We recommend using opset 11 and above for models using this operator.
2022-05-18T04:38:34.0748234Z     "" + str(GLOBALS.export_onnx_opset_version) + ". "
2022-05-18T04:38:34.0748395Z 
2022-05-18T04:38:34.0748564Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_kldiv_loss
2022-05-18T04:38:34.0748918Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_kldiv_loss
2022-05-18T04:38:34.0749254Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_kldiv_loss
2022-05-18T04:38:34.0749605Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_kldiv_loss
2022-05-18T04:38:34.0749963Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_kldiv_loss
2022-05-18T04:38:34.0750300Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_kldiv_loss
2022-05-18T04:38:34.0751132Z   /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.
2022-05-18T04:38:34.0751636Z     warnings.warn(
2022-05-18T04:38:34.0751752Z 
2022-05-18T04:38:34.0751921Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_kldiv_loss
2022-05-18T04:38:34.0752749Z   /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.
2022-05-18T04:38:34.0753405Z     "reduction: 'mean' divides the total loss by both the batch size and the support size."
2022-05-18T04:38:34.0753597Z 
2022-05-18T04:38:34.0753764Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_kldiv_loss
2022-05-18T04:38:34.0754346Z   /opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
2022-05-18T04:38:34.0754786Z     warnings.warn(warning.format(ret))
2022-05-18T04:38:34.0754917Z 
2022-05-18T04:38:34.0755085Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_linspace
2022-05-18T04:38:34.0755922Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2587: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0756499Z     return torch.linspace(start, end, steps)
2022-05-18T04:38:34.0756648Z 
2022-05-18T04:38:34.0756828Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_linspace_negative_start
2022-05-18T04:38:34.0757682Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2598: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0758208Z     return torch.linspace(start, end, steps)
2022-05-18T04:38:34.0758358Z 
2022-05-18T04:38:34.0758537Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_lstm_proj_no_hidden
2022-05-18T04:38:34.0759120Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:432: UserWarning: ONNX export failed on LSTM because LSTMs with projections not supported
2022-05-18T04:38:34.0759527Z     "ONNX export failed on " + op + " because " + msg + " not supported"
2022-05-18T04:38:34.0759694Z 
2022-05-18T04:38:34.0759820Z test/onnx/test_pytorch_onnx_onnxruntime.py: 32 warnings
2022-05-18T04:38:34.0760613Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:728: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0761119Z     max_batch_size = int(max_batch_size)
2022-05-18T04:38:34.0761255Z 
2022-05-18T04:38:34.0761762Z test/onnx/test_pytorch_onnx_onnxruntime.py: 32 warnings
2022-05-18T04:38:34.0762540Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:677: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0763155Z     mini_batch = int(batch_sizes[0])
2022-05-18T04:38:34.0763290Z 
2022-05-18T04:38:34.0763461Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_masked_fill
2022-05-18T04:38:34.0763819Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_masked_fill_inplace
2022-05-18T04:38:34.0764697Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: masked_fill_ received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1582.)
2022-05-18T04:38:34.0765248Z     return callable(*args, **kwargs)
2022-05-18T04:38:34.0765387Z 
2022-05-18T04:38:34.0765560Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_masked_fill
2022-05-18T04:38:34.0766171Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6890: UserWarning: masked_fill_ received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1582.)
2022-05-18T04:38:34.0766703Z     return x.masked_fill(mask, 2)
2022-05-18T04:38:34.0766838Z 
2022-05-18T04:38:34.0767007Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_masked_fill
2022-05-18T04:38:34.0767665Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6889: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0768303Z     mask = torch.tensor([[0, 0, 1], [1, 1, 0]], dtype=torch.uint8)
2022-05-18T04:38:34.0768461Z 
2022-05-18T04:38:34.0768612Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_one_hot
2022-05-18T04:38:34.0769450Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4396: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0770004Z     return torch.nn.functional.one_hot(x, num_classes[0])
2022-05-18T04:38:34.0770172Z 
2022-05-18T04:38:34.0770353Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_repeat_interleave
2022-05-18T04:38:34.0771070Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5447: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0771610Z     repeats = torch.tensor([4])
2022-05-18T04:38:34.0771741Z 
2022-05-18T04:38:34.0771916Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_repeat_interleave
2022-05-18T04:38:34.0772569Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5455: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0773116Z     repeats = torch.tensor([1, 2])
2022-05-18T04:38:34.0773250Z 
2022-05-18T04:38:34.0773430Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_repeat_interleave
2022-05-18T04:38:34.0774069Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5463: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0774619Z     repeats = torch.tensor([1, 2])
2022-05-18T04:38:34.0774757Z 
2022-05-18T04:38:34.0774927Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_scalar_type
2022-05-18T04:38:34.0775663Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7023: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0776211Z     a = torch.tensor([12.0])
2022-05-18T04:38:34.0776324Z 
2022-05-18T04:38:34.0776524Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_symbolic_shape_inference_arange
2022-05-18T04:38:34.0777562Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11538: UserWarning: __rfloordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:38:34.0778194Z     subframe_step = frame_step // subframe_length
2022-05-18T04:38:34.0778379Z 
2022-05-18T04:38:34.0778574Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_symbolic_shape_inference_arange
2022-05-18T04:38:34.0779605Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11539: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:38:34.0780238Z     subframes_per_frame = frame_length // subframe_length
2022-05-18T04:38:34.0780398Z 
2022-05-18T04:38:34.0780593Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_symbolic_shape_inference_arange
2022-05-18T04:38:34.0781638Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11541: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:38:34.0782287Z     output_subframes = output_size // subframe_length
2022-05-18T04:38:34.0782442Z 
2022-05-18T04:38:34.0782568Z test/onnx/test_pytorch_onnx_onnxruntime.py: 3 warnings
2022-05-18T04:38:34.0782827Z test/onnx/test_pytorch_onnx_caffe2.py: 12 warnings
2022-05-18T04:38:34.0783710Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:4017: UserWarning: Exporting aten::index operator of advanced indexing in opset 9 is achieved by combination of multiple ONNX operators, including Reshape, Transpose, Concat, and Gather. If indices include negative values, the exported graph will produce incorrect results.
2022-05-18T04:38:34.0784331Z     + "If indices include negative values, the exported graph will produce incorrect results."
2022-05-18T04:38:34.0784529Z 
2022-05-18T04:38:34.0784699Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_type_as
2022-05-18T04:38:34.0785349Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7739: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0785882Z     y = torch.tensor([1.0])
2022-05-18T04:38:34.0786009Z 
2022-05-18T04:38:34.0786191Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_where_with_byte_tensor
2022-05-18T04:38:34.0787074Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: where received a uint8 condition tensor. This behavior is deprecated and will be removed in a future version of PyTorch. Use a boolean condition instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorCompare.cpp:402.)
2022-05-18T04:38:34.0787628Z     return callable(*args, **kwargs)
2022-05-18T04:38:34.0787764Z 
2022-05-18T04:38:34.0787891Z test/onnx/test_custom_ops.py::TestCustomOps::test_custom_add
2022-05-18T04:38:34.0788725Z   /opt/conda/lib/python3.7/site-packages/caffe2/python/onnx/backend.py:693: UserWarning: This version of onnx-caffe2 targets ONNX operator set version 9, but the model we are trying to import uses version 11.  We will try to import it anyway, but if the model uses operators which had BC-breaking changes in the intervening versions, import will fail.
2022-05-18T04:38:34.0789794Z     warnings.warn("This version of onnx-caffe2 targets ONNX operator set version {}, but the model we are trying to import uses version {}.  We will try to import it anyway, but if the model uses operators which had BC-breaking changes in the intervening versions, import will fail.".format(cls._known_opset_version, imp.version))
2022-05-18T04:38:34.0790266Z 
2022-05-18T04:38:34.0790373Z test/onnx/test_custom_ops.py: 1 warning
2022-05-18T04:38:34.0790619Z test/onnx/test_utility_funs.py: 7 warnings
2022-05-18T04:38:34.0790866Z test/onnx/test_pytorch_onnx_caffe2.py: 1317 warnings
2022-05-18T04:38:34.0791146Z test/onnx/test_pytorch_onnx_caffe2_quantized.py: 13 warnings
2022-05-18T04:38:34.0791673Z   /opt/conda/lib/python3.7/site-packages/caffe2/python/onnx/backend.py:884: UserWarning: ShapeInferenceWarning: utils module not found in ONNX version 1.11.0
2022-05-18T04:38:34.0792137Z     warnings.warn("ShapeInferenceWarning: utils module not found in ONNX version {}".format(onnx.__version__))
2022-05-18T04:38:34.0792343Z 
2022-05-18T04:38:34.0792445Z test/onnx/test_custom_ops.py: 1 warning
2022-05-18T04:38:34.0792689Z test/onnx/test_utility_funs.py: 7 warnings
2022-05-18T04:38:34.0792948Z test/onnx/test_pytorch_onnx_caffe2.py: 1317 warnings
2022-05-18T04:38:34.0793216Z test/onnx/test_pytorch_onnx_caffe2_quantized.py: 13 warnings
2022-05-18T04:38:34.0793768Z   /opt/conda/lib/python3.7/site-packages/caffe2/python/onnx/backend.py:657: UserWarning: OptimizerWarning: optimizer module not found in ONNX version 1.11.0
2022-05-18T04:38:34.0794226Z     warnings.warn("OptimizerWarning: optimizer module not found in ONNX version {}".format(onnx.__version__))
2022-05-18T04:38:34.0794442Z 
2022-05-18T04:38:34.0794542Z test/onnx/test_custom_ops.py: 1 warning
2022-05-18T04:38:34.0794770Z test/onnx/test_utility_funs.py: 7 warnings
2022-05-18T04:38:34.0795027Z test/onnx/test_pytorch_onnx_caffe2.py: 1317 warnings
2022-05-18T04:38:34.0795307Z test/onnx/test_pytorch_onnx_caffe2_quantized.py: 13 warnings
2022-05-18T04:38:34.0795929Z   /opt/conda/lib/python3.7/site-packages/caffe2/python/onnx/backend.py:891: UserWarning: OptimizerWarning: onnxoptimizer module not installed. init_model and pred_model models will not be splitted, which can cause a runtime error
2022-05-18T04:38:34.0796428Z     warnings.warn("OptimizerWarning: onnxoptimizer module not installed. "
2022-05-18T04:38:34.0796622Z 
2022-05-18T04:38:34.0796742Z test/onnx/test_models_onnxruntime.py: 44 warnings
2022-05-18T04:38:34.0797549Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:406: UserWarning: Setting 'keep_initializers_as_inputs=False' for opset version8 or lower would lead to an invalid ONNX graph. Therefore, 'keep_initializers_as_inputs=False' is ignored during export.Exported model will have initializers as graph inputs (compliant  to ONNX IR v3).
2022-05-18T04:38:34.0798187Z     "Setting 'keep_initializers_as_inputs=False' for opset version"
2022-05-18T04:38:34.0798346Z 
2022-05-18T04:38:34.0798490Z test/onnx/test_models_onnxruntime.py::TestModels::test_googlenet
2022-05-18T04:38:34.0798812Z test/onnx/test_models_onnxruntime.py::TestModels_new_jit_API::test_googlenet
2022-05-18T04:38:34.0799647Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/googlenet.py:79: FutureWarning: The default weight initialization of GoogleNet will be changed in future releases of torchvision. If you wish to keep the old behavior (which leads to long initialization times due to scipy/scipy#11299), please set init_weights=True.
2022-05-18T04:38:34.0800306Z     ' due to scipy/scipy#11299), please set init_weights=True.', FutureWarning)
2022-05-18T04:38:34.0800484Z 
2022-05-18T04:38:34.0800613Z test/onnx/test_models_onnxruntime.py::TestModels::test_inception
2022-05-18T04:38:34.0800933Z test/onnx/test_models_onnxruntime.py::TestModels_new_jit_API::test_inception
2022-05-18T04:38:34.0801759Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/inception.py:82: FutureWarning: The default weight initialization of inception_v3 will be changed in future releases of torchvision. If you wish to keep the old behavior (which leads to long initialization times due to scipy/scipy#11299), please set init_weights=True.
2022-05-18T04:38:34.0802407Z     ' due to scipy/scipy#11299), please set init_weights=True.', FutureWarning)
2022-05-18T04:38:34.0802613Z 
2022-05-18T04:38:34.0802748Z test/onnx/test_models_onnxruntime.py::TestModels::test_shufflenet
2022-05-18T04:38:34.0803242Z test/onnx/test_models_onnxruntime.py::TestModels_new_jit_API::test_shufflenet
2022-05-18T04:38:34.0804267Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/shufflenetv2.py:23: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:38:34.0804920Z     channels_per_group = num_channels // groups
2022-05-18T04:38:34.0805070Z 
2022-05-18T04:38:34.0805182Z test/onnx/test_utility_funs.py: 189 warnings
2022-05-18T04:38:34.0805642Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key x for dynamic axes is not a valid input/output name
2022-05-18T04:38:34.0805963Z     key
2022-05-18T04:38:34.0806119Z 
2022-05-18T04:38:34.0806228Z test/onnx/test_utility_funs.py: 21 warnings
2022-05-18T04:38:34.0806691Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key batch for dynamic axes is not a valid input/output name
2022-05-18T04:38:34.0807003Z     key
2022-05-18T04:38:34.0807104Z 
2022-05-18T04:38:34.0807214Z test/onnx/test_utility_funs.py: 21 warnings
2022-05-18T04:38:34.0807830Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input batch
2022-05-18T04:38:34.0808214Z     key
2022-05-18T04:38:34.0808312Z 
2022-05-18T04:38:34.0808421Z test/onnx/test_utility_funs.py: 14 warnings
2022-05-18T04:38:34.0809024Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:432: UserWarning: ONNX export failed on prim::PythonOp because unknown node kind: CustomFunction not supported
2022-05-18T04:38:34.0809453Z     "ONNX export failed on " + op + " because " + msg + " not supported"
2022-05-18T04:38:34.0809620Z 
2022-05-18T04:38:34.0809766Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_constant_fold_add
2022-05-18T04:38:34.0810106Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_constant_fold_add
2022-05-18T04:38:34.0810442Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_constant_fold_add
2022-05-18T04:38:34.0810779Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_constant_fold_add
2022-05-18T04:38:34.0811100Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_constant_fold_add
2022-05-18T04:38:34.0811429Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_constant_fold_add
2022-05-18T04:38:34.0811765Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_constant_fold_add
2022-05-18T04:38:34.0812380Z   /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py:544: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0812945Z     add = self.weight + torch.tensor([1, 2, 3, 4, 5])
2022-05-18T04:38:34.0813091Z 
2022-05-18T04:38:34.0813253Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_constant_fold_concat
2022-05-18T04:38:34.0813594Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_constant_fold_concat
2022-05-18T04:38:34.0813921Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_constant_fold_concat
2022-05-18T04:38:34.0814263Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_constant_fold_concat
2022-05-18T04:38:34.0814600Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_constant_fold_concat
2022-05-18T04:38:34.0814993Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_constant_fold_concat
2022-05-18T04:38:34.0815318Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_constant_fold_concat
2022-05-18T04:38:34.0816021Z   /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py:396: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0816583Z     a = torch.tensor([[1.0, 2.0, 3.0]]).to(torch.float)
2022-05-18T04:38:34.0816731Z 
2022-05-18T04:38:34.0816897Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_constant_fold_concat
2022-05-18T04:38:34.0817227Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_constant_fold_concat
2022-05-18T04:38:34.0817572Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_constant_fold_concat
2022-05-18T04:38:34.0817945Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_constant_fold_concat
2022-05-18T04:38:34.0818284Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_constant_fold_concat
2022-05-18T04:38:34.0818605Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_constant_fold_concat
2022-05-18T04:38:34.0818940Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_constant_fold_concat
2022-05-18T04:38:34.0819563Z   /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py:397: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0820111Z     b = torch.tensor([[4.0, 5.0, 6.0]]).to(torch.float)
2022-05-18T04:38:34.0820260Z 
2022-05-18T04:38:34.0820407Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_constant_fold_div
2022-05-18T04:38:34.0820744Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_constant_fold_div
2022-05-18T04:38:34.0821077Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_constant_fold_div
2022-05-18T04:38:34.0821411Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_constant_fold_div
2022-05-18T04:38:34.0821729Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_constant_fold_div
2022-05-18T04:38:34.0822055Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_constant_fold_div
2022-05-18T04:38:34.0822387Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_constant_fold_div
2022-05-18T04:38:34.0822993Z   /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py:498: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0823559Z     div = self.weight.div(torch.tensor([1, 2, 3, 4, 5]))
2022-05-18T04:38:34.0823711Z 
2022-05-18T04:38:34.0823874Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_constant_fold_gather
2022-05-18T04:38:34.0824217Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_constant_fold_gather
2022-05-18T04:38:34.0824542Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_constant_fold_gather
2022-05-18T04:38:34.0824873Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_constant_fold_gather
2022-05-18T04:38:34.0825209Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_constant_fold_gather
2022-05-18T04:38:34.0825552Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_constant_fold_gather
2022-05-18T04:38:34.0825875Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_constant_fold_gather
2022-05-18T04:38:34.0826534Z   /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py:281: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0827083Z     a = torch.tensor([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])
2022-05-18T04:38:34.0827222Z 
2022-05-18T04:38:34.0827385Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_constant_fold_gather
2022-05-18T04:38:34.0827715Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_constant_fold_gather
2022-05-18T04:38:34.0828057Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_constant_fold_gather
2022-05-18T04:38:34.0828393Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_constant_fold_gather
2022-05-18T04:38:34.0828737Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_constant_fold_gather
2022-05-18T04:38:34.0829090Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_constant_fold_gather
2022-05-18T04:38:34.0829430Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_constant_fold_gather
2022-05-18T04:38:34.0830052Z   /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py:283: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0830702Z     c = torch.index_select(a, dim=-2, index=torch.tensor([0, 1]))
2022-05-18T04:38:34.0830868Z 
2022-05-18T04:38:34.0831015Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_constant_fold_lstm
2022-05-18T04:38:34.0831356Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_constant_fold_lstm
2022-05-18T04:38:34.0831699Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_constant_fold_lstm
2022-05-18T04:38:34.0832036Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_constant_fold_lstm
2022-05-18T04:38:34.0832358Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_constant_fold_lstm
2022-05-18T04:38:34.0832690Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_constant_fold_lstm
2022-05-18T04:38:34.0833029Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_constant_fold_lstm
2022-05-18T04:38:34.0833539Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key input for dynamic axes is not a valid input/output name
2022-05-18T04:38:34.0833853Z     key
2022-05-18T04:38:34.0833956Z 
2022-05-18T04:38:34.0834120Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_constant_fold_lstm
2022-05-18T04:38:34.0834459Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_constant_fold_lstm
2022-05-18T04:38:34.0834783Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_constant_fold_lstm
2022-05-18T04:38:34.0835120Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_constant_fold_lstm
2022-05-18T04:38:34.0835452Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_constant_fold_lstm
2022-05-18T04:38:34.0835773Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_constant_fold_lstm
2022-05-18T04:38:34.0836106Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_constant_fold_lstm
2022-05-18T04:38:34.0836759Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input
2022-05-18T04:38:34.0837159Z     key
2022-05-18T04:38:34.0837258Z 
2022-05-18T04:38:34.0837405Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_constant_fold_lstm
2022-05-18T04:38:34.0837785Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_constant_fold_lstm
2022-05-18T04:38:34.0838122Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_constant_fold_lstm
2022-05-18T04:38:34.0838459Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_constant_fold_lstm
2022-05-18T04:38:34.0838780Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_constant_fold_lstm
2022-05-18T04:38:34.0839111Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_constant_fold_lstm
2022-05-18T04:38:34.0839446Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_constant_fold_lstm
2022-05-18T04:38:34.0839949Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key h0 for dynamic axes is not a valid input/output name
2022-05-18T04:38:34.0840259Z     key
2022-05-18T04:38:34.0840358Z 
2022-05-18T04:38:34.0840516Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_constant_fold_lstm
2022-05-18T04:38:34.0840855Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_constant_fold_lstm
2022-05-18T04:38:34.0841215Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_constant_fold_lstm
2022-05-18T04:38:34.0841550Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_constant_fold_lstm
2022-05-18T04:38:34.0841882Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_constant_fold_lstm
2022-05-18T04:38:34.0842200Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_constant_fold_lstm
2022-05-18T04:38:34.0842531Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_constant_fold_lstm
2022-05-18T04:38:34.0843299Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input h0
2022-05-18T04:38:34.0843697Z     key
2022-05-18T04:38:34.0843782Z 
2022-05-18T04:38:34.0843942Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_constant_fold_mul
2022-05-18T04:38:34.0844285Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_constant_fold_mul
2022-05-18T04:38:34.0844621Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_constant_fold_mul
2022-05-18T04:38:34.0844943Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_constant_fold_mul
2022-05-18T04:38:34.0845276Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_constant_fold_mul
2022-05-18T04:38:34.0845607Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_constant_fold_mul
2022-05-18T04:38:34.0845943Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_constant_fold_mul
2022-05-18T04:38:34.0846554Z   /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py:521: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0847128Z     mul = self.weight.mul(torch.tensor([1, 2, 3, 4, 5]))
2022-05-18T04:38:34.0847283Z 
2022-05-18T04:38:34.0847450Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_constant_fold_reduceL1
2022-05-18T04:38:34.0847798Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_constant_fold_reduceL1
2022-05-18T04:38:34.0848130Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_constant_fold_reduceL1
2022-05-18T04:38:34.0848471Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_constant_fold_reduceL1
2022-05-18T04:38:34.0848814Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_constant_fold_reduceL1
2022-05-18T04:38:34.0849155Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_constant_fold_reduceL1
2022-05-18T04:38:34.0849483Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_constant_fold_reduceL1
2022-05-18T04:38:34.0850177Z   /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py:196: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0850728Z     a = torch.tensor([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])
2022-05-18T04:38:34.0850867Z 
2022-05-18T04:38:34.0851032Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_constant_fold_reduceL2
2022-05-18T04:38:34.0851367Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_constant_fold_reduceL2
2022-05-18T04:38:34.0851708Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_constant_fold_reduceL2
2022-05-18T04:38:34.0852051Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_constant_fold_reduceL2
2022-05-18T04:38:34.0852388Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_constant_fold_reduceL2
2022-05-18T04:38:34.0852722Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_constant_fold_reduceL2
2022-05-18T04:38:34.0853099Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_constant_fold_reduceL2
2022-05-18T04:38:34.0853734Z   /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py:178: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0854279Z     a = torch.tensor([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])
2022-05-18T04:38:34.0854405Z 
2022-05-18T04:38:34.0854566Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_constant_fold_slice
2022-05-18T04:38:34.0854908Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_constant_fold_slice
2022-05-18T04:38:34.0855254Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_constant_fold_slice
2022-05-18T04:38:34.0855689Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_constant_fold_slice
2022-05-18T04:38:34.0856028Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_constant_fold_slice
2022-05-18T04:38:34.0856363Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_constant_fold_slice
2022-05-18T04:38:34.0856700Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_constant_fold_slice
2022-05-18T04:38:34.0857310Z   /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py:214: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0857861Z     a = torch.tensor([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])
2022-05-18T04:38:34.0858003Z 
2022-05-18T04:38:34.0858187Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_constant_fold_slice_index_exceeds_dim
2022-05-18T04:38:34.0858574Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_constant_fold_slice_index_exceeds_dim
2022-05-18T04:38:34.0858937Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_constant_fold_slice_index_exceeds_dim
2022-05-18T04:38:34.0859319Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_constant_fold_slice_index_exceeds_dim
2022-05-18T04:38:34.0859695Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_constant_fold_slice_index_exceeds_dim
2022-05-18T04:38:34.0860069Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_constant_fold_slice_index_exceeds_dim
2022-05-18T04:38:34.0860424Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_constant_fold_slice_index_exceeds_dim
2022-05-18T04:38:34.0861069Z   /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py:234: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0861658Z     a = torch.tensor([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])
2022-05-18T04:38:34.0861795Z 
2022-05-18T04:38:34.0861973Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_constant_fold_slice_negative_index
2022-05-18T04:38:34.0862334Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_constant_fold_slice_negative_index
2022-05-18T04:38:34.0862705Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_constant_fold_slice_negative_index
2022-05-18T04:38:34.0863077Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_constant_fold_slice_negative_index
2022-05-18T04:38:34.0863448Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_constant_fold_slice_negative_index
2022-05-18T04:38:34.0863808Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_constant_fold_slice_negative_index
2022-05-18T04:38:34.0864198Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_constant_fold_slice_negative_index
2022-05-18T04:38:34.0864837Z   /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py:257: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0865381Z     a = torch.tensor([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])
2022-05-18T04:38:34.0865517Z 
2022-05-18T04:38:34.0865690Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_constant_fold_squeeze_with_axes
2022-05-18T04:38:34.0866041Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_constant_fold_squeeze_with_axes
2022-05-18T04:38:34.0866406Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_constant_fold_squeeze_with_axes
2022-05-18T04:38:34.0866774Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_constant_fold_squeeze_with_axes
2022-05-18T04:38:34.0867118Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_constant_fold_squeeze_with_axes
2022-05-18T04:38:34.0867477Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_constant_fold_squeeze_with_axes
2022-05-18T04:38:34.0867837Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_constant_fold_squeeze_with_axes
2022-05-18T04:38:34.0868471Z   /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py:362: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0869014Z     a = torch.tensor([[[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]]])
2022-05-18T04:38:34.0869153Z 
2022-05-18T04:38:34.0869263Z test/onnx/test_utility_funs.py: 2 warnings
2022-05-18T04:38:34.0869517Z test/onnx/test_pytorch_onnx_caffe2.py: 9 warnings
2022-05-18T04:38:34.0870335Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:740: UserWarning: ONNX export squeeze with negative axis -3 might cause the onnx model to be incorrect. Negative axis is not supported in ONNX. Axis is converted to 0 based on input shape at export time. Passing an tensor of different rank in execution will be incorrect.
2022-05-18T04:38:34.0870926Z     + "Passing an tensor of different rank in execution will be incorrect."
2022-05-18T04:38:34.0871094Z 
2022-05-18T04:38:34.0871203Z test/onnx/test_utility_funs.py: 2 warnings
2022-05-18T04:38:34.0871460Z test/onnx/test_pytorch_onnx_caffe2.py: 9 warnings
2022-05-18T04:38:34.0872128Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:778: UserWarning: This model contains a squeeze operation on dimension 0. If the model is intended to be used with dynamic input shapes, please use opset version 11 to export the model.
2022-05-18T04:38:34.0872697Z     + "intended to be used with dynamic input shapes, please use opset version 11 to export the model."
2022-05-18T04:38:34.0872901Z 
2022-05-18T04:38:34.0873080Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_constant_fold_squeeze_without_axes
2022-05-18T04:38:34.0873453Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_constant_fold_squeeze_without_axes
2022-05-18T04:38:34.0873826Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_constant_fold_squeeze_without_axes
2022-05-18T04:38:34.0874183Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_constant_fold_squeeze_without_axes
2022-05-18T04:38:34.0874559Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_constant_fold_squeeze_without_axes
2022-05-18T04:38:34.0874929Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_constant_fold_squeeze_without_axes
2022-05-18T04:38:34.0875332Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_constant_fold_squeeze_without_axes
2022-05-18T04:38:34.0875963Z   /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py:344: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0876511Z     a = torch.tensor([[[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]]])
2022-05-18T04:38:34.0876648Z 
2022-05-18T04:38:34.0876808Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_constant_fold_sub
2022-05-18T04:38:34.0877148Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_constant_fold_sub
2022-05-18T04:38:34.0877472Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_constant_fold_sub
2022-05-18T04:38:34.0877813Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_constant_fold_sub
2022-05-18T04:38:34.0878145Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_constant_fold_sub
2022-05-18T04:38:34.0878483Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_constant_fold_sub
2022-05-18T04:38:34.0878807Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_constant_fold_sub
2022-05-18T04:38:34.0879432Z   /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py:576: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0880041Z     sub = self.weight - torch.tensor([1, 2, 3, 4, 5])
2022-05-18T04:38:34.0880191Z 
2022-05-18T04:38:34.0880360Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_constant_fold_transpose
2022-05-18T04:38:34.0880700Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_constant_fold_transpose
2022-05-18T04:38:34.0881050Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_constant_fold_transpose
2022-05-18T04:38:34.0881390Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_constant_fold_transpose
2022-05-18T04:38:34.0881727Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_constant_fold_transpose
2022-05-18T04:38:34.0882054Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_constant_fold_transpose
2022-05-18T04:38:34.0882401Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_constant_fold_transpose
2022-05-18T04:38:34.0883122Z   /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py:158: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0883729Z     a = torch.tensor([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])
2022-05-18T04:38:34.0883856Z 
2022-05-18T04:38:34.0884037Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_constant_fold_transpose_matmul
2022-05-18T04:38:34.0884407Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_constant_fold_transpose_matmul
2022-05-18T04:38:34.0884774Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_constant_fold_transpose_matmul
2022-05-18T04:38:34.0885133Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_constant_fold_transpose_matmul
2022-05-18T04:38:34.0885477Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_constant_fold_transpose_matmul
2022-05-18T04:38:34.0885842Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_constant_fold_transpose_matmul
2022-05-18T04:38:34.0886204Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_constant_fold_transpose_matmul
2022-05-18T04:38:34.0886756Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key A for dynamic axes is not a valid input/output name
2022-05-18T04:38:34.0887074Z     key
2022-05-18T04:38:34.0887176Z 
2022-05-18T04:38:34.0887351Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_constant_fold_transpose_matmul
2022-05-18T04:38:34.0887713Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_constant_fold_transpose_matmul
2022-05-18T04:38:34.0888058Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_constant_fold_transpose_matmul
2022-05-18T04:38:34.0888418Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_constant_fold_transpose_matmul
2022-05-18T04:38:34.0888776Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_constant_fold_transpose_matmul
2022-05-18T04:38:34.0889119Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_constant_fold_transpose_matmul
2022-05-18T04:38:34.0889475Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_constant_fold_transpose_matmul
2022-05-18T04:38:34.0890142Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input A
2022-05-18T04:38:34.0890540Z     key
2022-05-18T04:38:34.0890641Z 
2022-05-18T04:38:34.0890793Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_constant_fold_unsqueeze
2022-05-18T04:38:34.0891142Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_constant_fold_unsqueeze
2022-05-18T04:38:34.0891498Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_constant_fold_unsqueeze
2022-05-18T04:38:34.0891838Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_constant_fold_unsqueeze
2022-05-18T04:38:34.0892160Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_constant_fold_unsqueeze
2022-05-18T04:38:34.0892502Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_constant_fold_unsqueeze
2022-05-18T04:38:34.0892841Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_constant_fold_unsqueeze
2022-05-18T04:38:34.0893465Z   /var/lib/jenkins/workspace/test/onnx/test_utility_funs.py:301: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0894000Z     a = torch.tensor([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])
2022-05-18T04:38:34.0894137Z 
2022-05-18T04:38:34.0894300Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_constant_fold_unsqueeze
2022-05-18T04:38:34.0894648Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_constant_fold_unsqueeze
2022-05-18T04:38:34.0895575Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:2733: UserWarning: ONNX export unsqueeze with negative axis -2 might cause the onnx model to be incorrect. Negative axis is not supported in ONNX. Axis is converted to 1 based on input shape at export time. Passing an tensor of different rank in execution will be incorrect.
2022-05-18T04:38:34.0896192Z     + "Passing an tensor of different rank in execution will be incorrect."
2022-05-18T04:38:34.0896373Z 
2022-05-18T04:38:34.0896484Z test/onnx/test_utility_funs.py: 12 warnings
2022-05-18T04:38:34.0896958Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key y for dynamic axes is not a valid input/output name
2022-05-18T04:38:34.0897276Z     key
2022-05-18T04:38:34.0897377Z 
2022-05-18T04:38:34.0897471Z test/onnx/test_utility_funs.py: 7 warnings
2022-05-18T04:38:34.0897727Z test/onnx/test_pytorch_onnx_caffe2.py: 54 warnings
2022-05-18T04:38:34.0898574Z   /opt/conda/lib/python3.7/site-packages/caffe2/python/onnx/backend.py:693: UserWarning: This version of onnx-caffe2 targets ONNX operator set version 9, but the model we are trying to import uses version 13.  We will try to import it anyway, but if the model uses operators which had BC-breaking changes in the intervening versions, import will fail.
2022-05-18T04:38:34.0899648Z     warnings.warn("This version of onnx-caffe2 targets ONNX operator set version {}, but the model we are trying to import uses version {}.  We will try to import it anyway, but if the model uses operators which had BC-breaking changes in the intervening versions, import will fail.".format(cls._known_opset_version, imp.version))
2022-05-18T04:38:34.0900064Z 
2022-05-18T04:38:34.0900243Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_onnx_function_substitution_pass
2022-05-18T04:38:34.0900608Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_onnx_function_substitution_pass
2022-05-18T04:38:34.0900985Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_onnx_function_substitution_pass
2022-05-18T04:38:34.0901351Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_onnx_function_substitution_pass
2022-05-18T04:38:34.0901705Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_onnx_function_substitution_pass
2022-05-18T04:38:34.0902073Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_onnx_function_substitution_pass
2022-05-18T04:38:34.0902440Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_onnx_function_substitution_pass
2022-05-18T04:38:34.0902985Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key input_1 for dynamic axes is not a valid input/output name
2022-05-18T04:38:34.0903289Z     key
2022-05-18T04:38:34.0903388Z 
2022-05-18T04:38:34.0903563Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_onnx_function_substitution_pass
2022-05-18T04:38:34.0903929Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_onnx_function_substitution_pass
2022-05-18T04:38:34.0904297Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_onnx_function_substitution_pass
2022-05-18T04:38:34.0904652Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_onnx_function_substitution_pass
2022-05-18T04:38:34.0905017Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_onnx_function_substitution_pass
2022-05-18T04:38:34.0905382Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_onnx_function_substitution_pass
2022-05-18T04:38:34.0905731Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_onnx_function_substitution_pass
2022-05-18T04:38:34.0906264Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key input_2 for dynamic axes is not a valid input/output name
2022-05-18T04:38:34.0906582Z     key
2022-05-18T04:38:34.0906683Z 
2022-05-18T04:38:34.0906856Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset9::test_onnx_function_substitution_pass
2022-05-18T04:38:34.0907212Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_onnx_function_substitution_pass
2022-05-18T04:38:34.0907618Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_onnx_function_substitution_pass
2022-05-18T04:38:34.0907980Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_onnx_function_substitution_pass
2022-05-18T04:38:34.0908345Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_onnx_function_substitution_pass
2022-05-18T04:38:34.0908694Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_onnx_function_substitution_pass
2022-05-18T04:38:34.0909058Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_onnx_function_substitution_pass
2022-05-18T04:38:34.0909734Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input_2
2022-05-18T04:38:34.0910132Z     key
2022-05-18T04:38:34.0910219Z 
2022-05-18T04:38:34.0910389Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_deduplicate_initializers
2022-05-18T04:38:34.0910803Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_deduplicate_initializers_torchscript
2022-05-18T04:38:34.0911163Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset10::test_export_mode
2022-05-18T04:38:34.0911840Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:75: UserWarning: You are exporting the model in training mode with onnx opset version 10. Opset versions lower than opset 12 will not be able to export nodes such as Dropout and BatchNorm correctly.
2022-05-18T04:38:34.0912291Z     GLOBALS.export_onnx_opset_version
2022-05-18T04:38:34.0912433Z 
2022-05-18T04:38:34.0912604Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_deduplicate_initializers
2022-05-18T04:38:34.0912978Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_deduplicate_initializers_torchscript
2022-05-18T04:38:34.0913320Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_export_mode
2022-05-18T04:38:34.0914019Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:75: UserWarning: You are exporting the model in training mode with onnx opset version 11. Opset versions lower than opset 12 will not be able to export nodes such as Dropout and BatchNorm correctly.
2022-05-18T04:38:34.0914471Z     GLOBALS.export_onnx_opset_version
2022-05-18T04:38:34.0914610Z 
2022-05-18T04:38:34.0914767Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_split_to_slice
2022-05-18T04:38:34.0915085Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_split_to_slice
2022-05-18T04:38:34.0915415Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_split_to_slice
2022-05-18T04:38:34.0915740Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_split_to_slice
2022-05-18T04:38:34.0916060Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_split_to_slice
2022-05-18T04:38:34.0916550Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key t for dynamic axes is not a valid input/output name
2022-05-18T04:38:34.0916862Z     key
2022-05-18T04:38:34.0916966Z 
2022-05-18T04:38:34.0917124Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset11::test_split_to_slice
2022-05-18T04:38:34.0917436Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset12::test_split_to_slice
2022-05-18T04:38:34.0917765Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset13::test_split_to_slice
2022-05-18T04:38:34.0918088Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset14::test_split_to_slice
2022-05-18T04:38:34.0918408Z test/onnx/test_utility_funs.py::TestUtilityFuns_opset15::test_split_to_slice
2022-05-18T04:38:34.0919036Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input t
2022-05-18T04:38:34.0919426Z     key
2022-05-18T04:38:34.0919526Z 
2022-05-18T04:38:34.0919676Z test/onnx/test_pytorch_onnx_caffe2.py: 54 warnings
2022-05-18T04:38:34.0919943Z test/onnx/test_pytorch_onnx_caffe2_quantized.py: 13 warnings
2022-05-18T04:38:34.0920429Z   /opt/conda/lib/python3.7/site-packages/caffe2/python/onnx/backend.py:695: UserWarning: Unrecognized operator set org.pytorch._caffe2
2022-05-18T04:38:34.0920811Z     warnings.warn("Unrecognized operator set {}".format(imp.domain))
2022-05-18T04:38:34.0920985Z 
2022-05-18T04:38:34.0921102Z test/onnx/test_pytorch_onnx_caffe2.py: 18 warnings
2022-05-18T04:38:34.0921366Z test/onnx/test_pytorch_onnx_caffe2_quantized.py: 13 warnings
2022-05-18T04:38:34.0922027Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:375: UserWarning: `add_node_names' can be set to True only when 'operator_export_type' is `ONNX`. Since 'operator_export_type' is not set to 'ONNX', `add_node_names` argument will be ignored.
2022-05-18T04:38:34.0922504Z     "`{}` argument will be ignored.".format(arg_name, arg_name)
2022-05-18T04:38:34.0922663Z 
2022-05-18T04:38:34.0922784Z test/onnx/test_pytorch_onnx_caffe2.py: 31 warnings
2022-05-18T04:38:34.0923155Z test/onnx/test_pytorch_onnx_caffe2_quantized.py: 13 warnings
2022-05-18T04:38:34.0923876Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:375: UserWarning: `do_constant_folding' can be set to True only when 'operator_export_type' is `ONNX`. Since 'operator_export_type' is not set to 'ONNX', `do_constant_folding` argument will be ignored.
2022-05-18T04:38:34.0924357Z     "`{}` argument will be ignored.".format(arg_name, arg_name)
2022-05-18T04:38:34.0924516Z 
2022-05-18T04:38:34.0924633Z test/onnx/test_pytorch_onnx_caffe2.py: 36 warnings
2022-05-18T04:38:34.0925091Z   /opt/conda/lib/python3.7/site-packages/caffe2/python/onnx/backend.py:695: UserWarning: Unrecognized operator set org.pytorch.aten
2022-05-18T04:38:34.0925479Z     warnings.warn("Unrecognized operator set {}".format(imp.domain))
2022-05-18T04:38:34.0925654Z 
2022-05-18T04:38:34.0925814Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_baddbmm
2022-05-18T04:38:34.0926170Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_baddbmm
2022-05-18T04:38:34.0926506Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_baddbmm
2022-05-18T04:38:34.0926852Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_baddbmm
2022-05-18T04:38:34.0927198Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_baddbmm
2022-05-18T04:38:34.0927529Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_baddbmm
2022-05-18T04:38:34.0927875Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_baddbmm
2022-05-18T04:38:34.0928219Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_baddbmm
2022-05-18T04:38:34.0928591Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_baddbmm
2022-05-18T04:38:34.0929232Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:3042: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0929811Z     input, batch1, batch2, alpha=torch.tensor(5), beta=3.5
2022-05-18T04:38:34.0929967Z 
2022-05-18T04:38:34.0930137Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_c2_bbox_transform
2022-05-18T04:38:34.0930504Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_c2_bbox_transform
2022-05-18T04:38:34.0930857Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_c2_bbox_transform
2022-05-18T04:38:34.0931223Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_c2_bbox_transform
2022-05-18T04:38:34.0931587Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_c2_bbox_transform
2022-05-18T04:38:34.0931991Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_c2_bbox_transform
2022-05-18T04:38:34.0932341Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_c2_bbox_transform
2022-05-18T04:38:34.0932706Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_c2_bbox_transform
2022-05-18T04:38:34.0933094Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_c2_bbox_transform
2022-05-18T04:38:34.0933652Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:2474: 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).
2022-05-18T04:38:34.0934172Z     inputs = (torch.tensor(rois), torch.tensor(deltas), torch.tensor(im_info))
2022-05-18T04:38:34.0934352Z 
2022-05-18T04:38:34.0934513Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_index_copy
2022-05-18T04:38:34.0934873Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_index_copy
2022-05-18T04:38:34.0935243Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_index_copy
2022-05-18T04:38:34.0935682Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_index_copy
2022-05-18T04:38:34.0936063Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_index_copy
2022-05-18T04:38:34.0936720Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:3088: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0937259Z     index = torch.tensor([2, 0])
2022-05-18T04:38:34.0937376Z 
2022-05-18T04:38:34.0937538Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_index_fill
2022-05-18T04:38:34.0937902Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_index_fill
2022-05-18T04:38:34.0938263Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_index_fill
2022-05-18T04:38:34.0938605Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_index_fill
2022-05-18T04:38:34.0938981Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_index_fill
2022-05-18T04:38:34.0939640Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:3076: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0940188Z     index = torch.tensor([2, 0])
2022-05-18T04:38:34.0940321Z 
2022-05-18T04:38:34.0940495Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_inplace_arithmetic
2022-05-18T04:38:34.0940857Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_inplace_arithmetic
2022-05-18T04:38:34.0941229Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_inplace_arithmetic
2022-05-18T04:38:34.0941608Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_inplace_arithmetic
2022-05-18T04:38:34.0941991Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_inplace_arithmetic
2022-05-18T04:38:34.0942515Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:487: UserWarning: No input args, skipping _decide_input_format
2022-05-18T04:38:34.0942881Z     warnings.warn("No input args, skipping _decide_input_format")
2022-05-18T04:38:34.0943051Z 
2022-05-18T04:38:34.0943226Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_interpolate_upsample
2022-05-18T04:38:34.0943634Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_interpolate_upsample
2022-05-18T04:38:34.0944014Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_interpolate_upsample
2022-05-18T04:38:34.0944392Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_interpolate_upsample
2022-05-18T04:38:34.0944766Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_interpolate_upsample
2022-05-18T04:38:34.0945125Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_interpolate_upsample
2022-05-18T04:38:34.0945529Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_interpolate_upsample
2022-05-18T04:38:34.0946392Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:1449: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.0946895Z     size = [int(i) for i in size]
2022-05-18T04:38:34.0947041Z 
2022-05-18T04:38:34.0947207Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_masked_fill
2022-05-18T04:38:34.0947562Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_masked_fill
2022-05-18T04:38:34.0947918Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_masked_fill
2022-05-18T04:38:34.0948260Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_masked_fill
2022-05-18T04:38:34.0948644Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_masked_fill
2022-05-18T04:38:34.0949297Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:2985: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0949876Z     mask = torch.tensor([[0, 0, 1], [1, 1, 0]], dtype=torch.uint8)
2022-05-18T04:38:34.0950036Z 
2022-05-18T04:38:34.0950200Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_masked_fill
2022-05-18T04:38:34.0950542Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_masked_fill
2022-05-18T04:38:34.0950900Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_masked_fill
2022-05-18T04:38:34.0951257Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_masked_fill
2022-05-18T04:38:34.0951625Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_masked_fill
2022-05-18T04:38:34.0952262Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:2986: UserWarning: masked_fill_ received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1582.)
2022-05-18T04:38:34.0952790Z     return x.masked_fill(mask, 2)
2022-05-18T04:38:34.0952921Z 
2022-05-18T04:38:34.0953089Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_repeat_dynamic
2022-05-18T04:38:34.0953452Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_repeat_dynamic
2022-05-18T04:38:34.0953800Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_repeat_dynamic
2022-05-18T04:38:34.0954159Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_repeat_dynamic
2022-05-18T04:38:34.0954517Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_repeat_dynamic
2022-05-18T04:38:34.0954866Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_repeat_dynamic
2022-05-18T04:38:34.0955224Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_repeat_dynamic
2022-05-18T04:38:34.0955658Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_repeat_dynamic
2022-05-18T04:38:34.0956043Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_repeat_dynamic
2022-05-18T04:38:34.0957056Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:1493: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:38:34.0957679Z     return x.repeat(y.size()[0] // 2, y.size()[1] * 2)
2022-05-18T04:38:34.0957827Z 
2022-05-18T04:38:34.0957987Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_squeeze
2022-05-18T04:38:34.0958338Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_squeeze
2022-05-18T04:38:34.0958696Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_squeeze
2022-05-18T04:38:34.0959043Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_squeeze
2022-05-18T04:38:34.0959386Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_squeeze
2022-05-18T04:38:34.0959730Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_squeeze
2022-05-18T04:38:34.0960063Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_squeeze
2022-05-18T04:38:34.0960411Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_squeeze
2022-05-18T04:38:34.0960781Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_squeeze
2022-05-18T04:38:34.0961641Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:740: UserWarning: ONNX export squeeze with negative axis -1 might cause the onnx model to be incorrect. Negative axis is not supported in ONNX. Axis is converted to 2 based on input shape at export time. Passing an tensor of different rank in execution will be incorrect.
2022-05-18T04:38:34.0962215Z     + "Passing an tensor of different rank in execution will be incorrect."
2022-05-18T04:38:34.0962392Z 
2022-05-18T04:38:34.0962551Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_squeeze
2022-05-18T04:38:34.0963013Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_squeeze
2022-05-18T04:38:34.0963364Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_squeeze
2022-05-18T04:38:34.0963695Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_squeeze
2022-05-18T04:38:34.0964041Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_squeeze
2022-05-18T04:38:34.0964388Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_squeeze
2022-05-18T04:38:34.0964722Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_squeeze
2022-05-18T04:38:34.0965074Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_squeeze
2022-05-18T04:38:34.0965447Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_squeeze
2022-05-18T04:38:34.0966162Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:778: UserWarning: This model contains a squeeze operation on dimension 2. If the model is intended to be used with dynamic input shapes, please use opset version 11 to export the model.
2022-05-18T04:38:34.0966676Z     + "intended to be used with dynamic input shapes, please use opset version 11 to export the model."
2022-05-18T04:38:34.0966881Z 
2022-05-18T04:38:34.0967049Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_tensor_index_1d
2022-05-18T04:38:34.0967413Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_tensor_index_1d
2022-05-18T04:38:34.0967828Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_tensor_index_1d
2022-05-18T04:38:34.0968182Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_tensor_index_1d
2022-05-18T04:38:34.0968549Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_tensor_index_1d
2022-05-18T04:38:34.0968913Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_tensor_index_1d
2022-05-18T04:38:34.0969261Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_tensor_index_1d
2022-05-18T04:38:34.0969632Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_tensor_index_1d
2022-05-18T04:38:34.0970025Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_tensor_index_1d
2022-05-18T04:38:34.0970728Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:870: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0971330Z     self._test_index_generic(lambda input: input[torch.tensor([0, 2])])
2022-05-18T04:38:34.0971490Z 
2022-05-18T04:38:34.0971673Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_tensor_index_2d_1dconstant
2022-05-18T04:38:34.0972062Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_tensor_index_2d_1dconstant
2022-05-18T04:38:34.0972450Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_tensor_index_2d_1dconstant
2022-05-18T04:38:34.0972836Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_tensor_index_2d_1dconstant
2022-05-18T04:38:34.0973208Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_tensor_index_2d_1dconstant
2022-05-18T04:38:34.0973595Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_tensor_index_2d_1dconstant
2022-05-18T04:38:34.0973980Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_tensor_index_2d_1dconstant
2022-05-18T04:38:34.0974355Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_tensor_index_2d_1dconstant
2022-05-18T04:38:34.0974764Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_tensor_index_2d_1dconstant
2022-05-18T04:38:34.0975504Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:873: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0976096Z     self._test_index_generic(lambda input: input[1, torch.tensor([0, 2])])
2022-05-18T04:38:34.0976277Z 
2022-05-18T04:38:34.0976456Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_tensor_index_2d_1dslice
2022-05-18T04:38:34.0976829Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_tensor_index_2d_1dslice
2022-05-18T04:38:34.0977210Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_tensor_index_2d_1dslice
2022-05-18T04:38:34.0977595Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_tensor_index_2d_1dslice
2022-05-18T04:38:34.0977959Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_tensor_index_2d_1dslice
2022-05-18T04:38:34.0978339Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_tensor_index_2d_1dslice
2022-05-18T04:38:34.0978746Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_tensor_index_2d_1dslice
2022-05-18T04:38:34.0979409Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:877: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0980051Z     self._test_index_generic(lambda input: input[torch.tensor([0, 2]), 0:1])
2022-05-18T04:38:34.0980212Z 
2022-05-18T04:38:34.0980397Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_tensor_index_2d_1dslice_first
2022-05-18T04:38:34.0980792Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_tensor_index_2d_1dslice_first
2022-05-18T04:38:34.0981187Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_tensor_index_2d_1dslice_first
2022-05-18T04:38:34.0981584Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_tensor_index_2d_1dslice_first
2022-05-18T04:38:34.0981961Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_tensor_index_2d_1dslice_first
2022-05-18T04:38:34.0982380Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_tensor_index_2d_1dslice_first
2022-05-18T04:38:34.0982796Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_tensor_index_2d_1dslice_first
2022-05-18T04:38:34.0983467Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:881: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0984049Z     self._test_index_generic(lambda input: input[1:3, torch.tensor([0, 2])])
2022-05-18T04:38:34.0984224Z 
2022-05-18T04:38:34.0984410Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0984812Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0985208Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0985593Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0985993Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0986388Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0986780Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0987163Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0987580Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0988255Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:890: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0988798Z     torch.tensor([[0, 2], [1, 1]]),
2022-05-18T04:38:34.0988927Z 
2022-05-18T04:38:34.0989099Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0989496Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0989892Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0990289Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0990702Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0991094Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0991488Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0991885Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0992290Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0992968Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:892: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0993533Z     torch.tensor([2, 1]),
2022-05-18T04:38:34.0993660Z 
2022-05-18T04:38:34.0993850Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0994234Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0994625Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0995022Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0995416Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0995794Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0996191Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0996594Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0996999Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.0997666Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:893: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.0998196Z     torch.tensor([0, 3]),
2022-05-18T04:38:34.0998320Z 
2022-05-18T04:38:34.0998522Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:38:34.0998950Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:38:34.0999363Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:38:34.0999781Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:38:34.1000198Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:38:34.1000623Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:38:34.1001032Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:38:34.1001458Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:38:34.1001940Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:38:34.1002630Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:917: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.1003303Z     :, torch.tensor([0, 2]), torch.tensor([[1, 3], [4, 0]]), None
2022-05-18T04:38:34.1003461Z 
2022-05-18T04:38:34.1003658Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_tensor_index_advanced_indexing_masked
2022-05-18T04:38:34.1004073Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_tensor_index_advanced_indexing_masked
2022-05-18T04:38:34.1004489Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_tensor_index_advanced_indexing_masked
2022-05-18T04:38:34.1004946Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_tensor_index_advanced_indexing_masked
2022-05-18T04:38:34.1005383Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_tensor_index_advanced_indexing_masked
2022-05-18T04:38:34.1006069Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:926: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.1006631Z     torch.tensor([1, 0, 1, 0], dtype=torch.uint8),
2022-05-18T04:38:34.1006779Z 
2022-05-18T04:38:34.1006976Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_tensor_index_advanced_indexing_masked
2022-05-18T04:38:34.1007382Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_tensor_index_advanced_indexing_masked
2022-05-18T04:38:34.1007797Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_tensor_index_advanced_indexing_masked
2022-05-18T04:38:34.1008213Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_tensor_index_advanced_indexing_masked
2022-05-18T04:38:34.1008632Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_tensor_index_advanced_indexing_masked
2022-05-18T04:38:34.1009315Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:927: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.1009857Z     torch.tensor([[1, 3], [4, 0]]),
2022-05-18T04:38:34.1009989Z 
2022-05-18T04:38:34.1010186Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_tensor_index_advanced_indexing_masked
2022-05-18T04:38:34.1010600Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_tensor_index_advanced_indexing_masked
2022-05-18T04:38:34.1011001Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_tensor_index_advanced_indexing_masked
2022-05-18T04:38:34.1011412Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_tensor_index_advanced_indexing_masked
2022-05-18T04:38:34.1011843Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_tensor_index_advanced_indexing_masked
2022-05-18T04:38:34.1012433Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:928: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-05-18T04:38:34.1012901Z     None,
2022-05-18T04:38:34.1013009Z 
2022-05-18T04:38:34.1013209Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1013630Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1014048Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1014451Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1014864Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1015285Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1015808Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1016530Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:901: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.1017102Z     :, torch.tensor([0, 2]), None, 2:4, torch.tensor([[1, 3], [4, 0]])
2022-05-18T04:38:34.1017258Z 
2022-05-18T04:38:34.1017454Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1017876Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1018282Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1018705Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1019119Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1019530Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1019952Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1020628Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:907: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.1021162Z     torch.tensor([0, 2]),
2022-05-18T04:38:34.1021287Z 
2022-05-18T04:38:34.1021489Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1021908Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1022308Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1022726Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1023145Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1023559Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1023982Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1024709Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:908: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.1025239Z     torch.tensor([1]),
2022-05-18T04:38:34.1025367Z 
2022-05-18T04:38:34.1025563Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1025968Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1026378Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1026799Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1027239Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1027641Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1028078Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_tensor_index_advanced_indexing_with_slice
2022-05-18T04:38:34.1028756Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:910: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.1029290Z     torch.tensor([[1], [4]]),
2022-05-18T04:38:34.1029418Z 
2022-05-18T04:38:34.1029580Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_tensor_index_newaxis
2022-05-18T04:38:34.1029961Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_tensor_index_newaxis
2022-05-18T04:38:34.1030335Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_tensor_index_newaxis
2022-05-18T04:38:34.1030704Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_tensor_index_newaxis
2022-05-18T04:38:34.1031059Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_tensor_index_newaxis
2022-05-18T04:38:34.1031425Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_tensor_index_newaxis
2022-05-18T04:38:34.1031797Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_tensor_index_newaxis
2022-05-18T04:38:34.1032177Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_tensor_index_newaxis
2022-05-18T04:38:34.1032566Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_tensor_index_newaxis
2022-05-18T04:38:34.1033236Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_caffe2.py:884: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:38:34.1033832Z     self._test_index_generic(lambda input: input[None, torch.tensor([0, 2])])
2022-05-18T04:38:34.1034013Z 
2022-05-18T04:38:34.1034180Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_unsqueeze
2022-05-18T04:38:34.1034524Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_unsqueeze
2022-05-18T04:38:34.1034880Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_unsqueeze
2022-05-18T04:38:34.1035290Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_unsqueeze
2022-05-18T04:38:34.1035644Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_unsqueeze
2022-05-18T04:38:34.1035980Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_unsqueeze
2022-05-18T04:38:34.1036330Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_unsqueeze
2022-05-18T04:38:34.1036684Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_unsqueeze
2022-05-18T04:38:34.1037050Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_unsqueeze
2022-05-18T04:38:34.1037959Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:2733: UserWarning: ONNX export unsqueeze with negative axis -4 might cause the onnx model to be incorrect. Negative axis is not supported in ONNX. Axis is converted to 0 based on input shape at export time. Passing an tensor of different rank in execution will be incorrect.
2022-05-18T04:38:34.1038549Z     + "Passing an tensor of different rank in execution will be incorrect."
2022-05-18T04:38:34.1038730Z 
2022-05-18T04:38:34.1038924Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_unsqueeze
2022-05-18T04:38:34.1039270Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_unsqueeze
2022-05-18T04:38:34.1039620Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_unsqueeze
2022-05-18T04:38:34.1039973Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_unsqueeze
2022-05-18T04:38:34.1040326Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_unsqueeze
2022-05-18T04:38:34.1040665Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_unsqueeze
2022-05-18T04:38:34.1041015Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_unsqueeze
2022-05-18T04:38:34.1041368Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_unsqueeze
2022-05-18T04:38:34.1041733Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_unsqueeze
2022-05-18T04:38:34.1042600Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:2733: UserWarning: ONNX export unsqueeze with negative axis -3 might cause the onnx model to be incorrect. Negative axis is not supported in ONNX. Axis is converted to 1 based on input shape at export time. Passing an tensor of different rank in execution will be incorrect.
2022-05-18T04:38:34.1043301Z     + "Passing an tensor of different rank in execution will be incorrect."
2022-05-18T04:38:34.1043484Z 
2022-05-18T04:38:34.1043646Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset9::test_unsqueeze
2022-05-18T04:38:34.1043820Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9::test_unsqueeze
2022-05-18T04:38:34.1043980Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset7::test_unsqueeze
2022-05-18T04:38:34.1044140Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset7::test_unsqueeze
2022-05-18T04:38:34.1044302Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset8::test_unsqueeze
2022-05-18T04:38:34.1044473Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset8::test_unsqueeze
2022-05-18T04:38:34.1044633Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_unsqueeze
2022-05-18T04:38:34.1044808Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_unsqueeze
2022-05-18T04:38:34.1044992Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset9_new_jit_API::test_unsqueeze
2022-05-18T04:38:34.1045647Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:2733: UserWarning: ONNX export unsqueeze with negative axis -1 might cause the onnx model to be incorrect. Negative axis is not supported in ONNX. Axis is converted to 3 based on input shape at export time. Passing an tensor of different rank in execution will be incorrect.
2022-05-18T04:38:34.1045857Z     + "Passing an tensor of different rank in execution will be incorrect."
2022-05-18T04:38:34.1045863Z 
2022-05-18T04:38:34.1045984Z test/onnx/test_pytorch_onnx_caffe2.py: 272 warnings
2022-05-18T04:38:34.1046649Z   /opt/conda/lib/python3.7/site-packages/caffe2/python/onnx/backend.py:693: UserWarning: This version of onnx-caffe2 targets ONNX operator set version 9, but the model we are trying to import uses version 10.  We will try to import it anyway, but if the model uses operators which had BC-breaking changes in the intervening versions, import will fail.
2022-05-18T04:38:34.1047275Z     warnings.warn("This version of onnx-caffe2 targets ONNX operator set version {}, but the model we are trying to import uses version {}.  We will try to import it anyway, but if the model uses operators which had BC-breaking changes in the intervening versions, import will fail.".format(cls._known_opset_version, imp.version))
2022-05-18T04:38:34.1047281Z 
2022-05-18T04:38:34.1047473Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.1047712Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:38:34.1047899Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2Backend_opset10::test_tensor_index_advanced_indexing_masked
2022-05-18T04:38:34.1048097Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_tensor_index_advanced_indexing
2022-05-18T04:38:34.1048308Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:38:34.1048515Z test/onnx/test_pytorch_onnx_caffe2.py::TestCaffe2BackendEmbed_opset10::test_tensor_index_advanced_indexing_masked
2022-05-18T04:38:34.1049258Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:4017: UserWarning: Exporting aten::index operator of advanced indexing in opset 10 is achieved by combination of multiple ONNX operators, including Reshape, Transpose, Concat, and Gather. If indices include negative values, the exported graph will produce incorrect results.
2022-05-18T04:38:34.1049437Z     + "If indices include negative values, the exported graph will produce incorrect results."
2022-05-18T04:38:34.1049443Z 
2022-05-18T04:38:34.1049577Z test/onnx/test_pytorch_onnx_caffe2_quantized.py: 11 warnings
2022-05-18T04:38:34.1050021Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:1137: UserWarning: must run observer before calling calculate_qparams.                                    Returning default scale and zero point 
2022-05-18T04:38:34.1050134Z     Returning default scale and zero point "
2022-05-18T04:38:34.1050140Z 
2022-05-18T04:38:34.1050274Z test/onnx/test_pytorch_onnx_caffe2_quantized.py: 13 warnings
2022-05-18T04:38:34.1050921Z   /opt/conda/lib/python3.7/site-packages/torch/nn/quantized/modules/__init__.py:53: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.1051056Z     return torch.quantize_per_tensor(X, float(self.scale),
2022-05-18T04:38:34.1051062Z 
2022-05-18T04:38:34.1051180Z test/onnx/test_pytorch_onnx_caffe2_quantized.py: 13 warnings
2022-05-18T04:38:34.1051832Z   /opt/conda/lib/python3.7/site-packages/torch/nn/quantized/modules/__init__.py:54: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:38:34.1051935Z     int(self.zero_point), self.dtype)
2022-05-18T04:38:34.1051940Z 
2022-05-18T04:38:34.1052111Z test/onnx/test_pytorch_onnx_caffe2_quantized.py::TestQuantizedOps::test_qconv_model
2022-05-18T04:38:34.1052318Z test/onnx/test_pytorch_onnx_caffe2_quantized.py::TestQuantizedOps::test_qlinear_model
2022-05-18T04:38:34.1052694Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/utils.py:281: UserWarning: must run observer before calling calculate_qparams. Returning default values.
2022-05-18T04:38:34.1052827Z     "must run observer before calling calculate_qparams. " +
2022-05-18T04:38:34.1052832Z 
2022-05-18T04:38:34.1053000Z test/onnx/test_pytorch_onnx_caffe2_quantized.py::TestQuantizedOps::test_qconv_model
2022-05-18T04:38:34.1053169Z test/onnx/test_pytorch_onnx_caffe2_quantized.py::TestQuantizedOps::test_qlinear_model
2022-05-18T04:38:34.1053337Z test/onnx/test_pytorch_onnx_caffe2_quantized.py::TestQuantizedOps::test_sequential
2022-05-18T04:38:34.1053488Z test/onnx/test_pytorch_onnx_caffe2_quantized.py::TestQuantizedOps::test_small_model
2022-05-18T04:38:34.1053870Z   /opt/conda/lib/python3.7/site-packages/torch/jit/_trace.py:745: UserWarning: The input to trace is already a ScriptModule, tracing it is a no-op. Returning the object as is.
2022-05-18T04:38:34.1054165Z     "The input to trace is already a ScriptModule, tracing it is a no-op. Returning the object as is."
2022-05-18T04:38:34.1054171Z 
2022-05-18T04:38:34.1054428Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-05-18T04:38:34.1054433Z 
2022-05-18T04:38:34.1054647Z ---------- coverage: platform linux, python 3.7.13-final-0 -----------
2022-05-18T04:38:34.1054767Z Coverage XML written to file test/coverage.xml
2022-05-18T04:38:34.1054772Z 
2022-05-18T04:38:34.1842097Z =========================== short test summary info ============================
2022-05-18T04:38:34.1842423Z SKIPPED [172] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 7 < 9
2022-05-18T04:38:34.1842726Z SKIPPED [7] test/onnx/test_pytorch_common.py:98: Unsupported opset_version: 7 < 15
2022-05-18T04:38:34.1843141Z SKIPPED [3] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 7 < 15
2022-05-18T04:38:34.1843382Z SKIPPED [109] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 7 < 11
2022-05-18T04:38:34.1843609Z SKIPPED [25] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 7 < 12
2022-05-18T04:38:34.1843855Z SKIPPED [6] test/onnx/test_pytorch_common.py:98: Unsupported opset_version: 7 < 11
2022-05-18T04:38:34.1844088Z SKIPPED [29] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 7 < 13
2022-05-18T04:38:34.1844323Z SKIPPED [14] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 7 < 8
2022-05-18T04:38:34.1844563Z SKIPPED [30] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 7 < 10
2022-05-18T04:38:34.1844846Z SKIPPED [193] test/onnx/test_pytorch_common.py:98: Unsupported opset_version: 7 < 9
2022-05-18T04:38:34.1845126Z SKIPPED [1] test/onnx/test_pytorch_common.py:98: Unsupported opset_version: 7 < 10
2022-05-18T04:38:34.1845405Z SKIPPED [1] test/onnx/test_pytorch_common.py:112: Unsupported opset_version: 7 < 9
2022-05-18T04:38:34.1845678Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 7 < 16
2022-05-18T04:38:34.1845948Z SKIPPED [8] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 7 < 14
2022-05-18T04:38:34.1846296Z SKIPPED [3] test/onnx/test_pytorch_common.py:53: Failing, see https://github.com/pytorch/pytorch/issues/66528
2022-05-18T04:38:34.1846732Z SKIPPED [3] test/onnx/test_pytorch_common.py:53: Unstable loading pretrained quantized mobilenet v3: https://github.com/pytorch/vision/issues/5303
2022-05-18T04:38:34.1846985Z SKIPPED [3] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 7 < 11
2022-05-18T04:38:34.1847310Z SKIPPED [43] test/onnx/test_pytorch_common.py:112: Skip verify test for unsupported opset_version
2022-05-18T04:38:34.1847868Z SKIPPED [3] test/onnx/test_pytorch_common.py:53: Bug in ORT, skip test until rel-1.11.
2022-05-18T04:38:34.1848133Z SKIPPED [1] test/onnx/test_pytorch_common.py:112: Unsupported opset_version: 7 < 11
2022-05-18T04:38:34.1848405Z SKIPPED [172] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 8 < 9
2022-05-18T04:38:34.1848943Z SKIPPED [7] test/onnx/test_pytorch_common.py:98: Unsupported opset_version: 8 < 15
2022-05-18T04:38:34.1849196Z SKIPPED [3] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 8 < 15
2022-05-18T04:38:34.1849470Z SKIPPED [109] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 8 < 11
2022-05-18T04:38:34.1849744Z SKIPPED [25] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 8 < 12
2022-05-18T04:38:34.1850027Z SKIPPED [6] test/onnx/test_pytorch_common.py:98: Unsupported opset_version: 8 < 11
2022-05-18T04:38:34.1850313Z SKIPPED [29] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 8 < 13
2022-05-18T04:38:34.1850586Z SKIPPED [30] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 8 < 10
2022-05-18T04:38:34.1850844Z SKIPPED [193] test/onnx/test_pytorch_common.py:98: Unsupported opset_version: 8 < 9
2022-05-18T04:38:34.1851127Z SKIPPED [1] test/onnx/test_pytorch_common.py:98: Unsupported opset_version: 8 < 10
2022-05-18T04:38:34.1851408Z SKIPPED [1] test/onnx/test_pytorch_common.py:112: Unsupported opset_version: 8 < 9
2022-05-18T04:38:34.1851745Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 8 < 16
2022-05-18T04:38:34.1852030Z SKIPPED [8] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 8 < 14
2022-05-18T04:38:34.1852306Z SKIPPED [3] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 8 < 11
2022-05-18T04:38:34.1852592Z SKIPPED [1] test/onnx/test_pytorch_common.py:112: Unsupported opset_version: 8 < 11
2022-05-18T04:38:34.1852871Z SKIPPED [7] test/onnx/test_pytorch_common.py:98: Unsupported opset_version: 9 < 15
2022-05-18T04:38:34.1853147Z SKIPPED [7] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 9 < 15
2022-05-18T04:38:34.1853435Z SKIPPED [118] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 9 < 11
2022-05-18T04:38:34.1853710Z SKIPPED [25] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 9 < 12
2022-05-18T04:38:34.1853927Z SKIPPED [6] test/onnx/test_pytorch_common.py:98: Unsupported opset_version: 9 < 11
2022-05-18T04:38:34.1854088Z SKIPPED [31] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 9 < 13
2022-05-18T04:38:34.1854246Z SKIPPED [34] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 9 < 10
2022-05-18T04:38:34.1854402Z SKIPPED [1] test/onnx/test_pytorch_common.py:98: Unsupported opset_version: 9 < 10
2022-05-18T04:38:34.1854556Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 9 < 16
2022-05-18T04:38:34.1854711Z SKIPPED [8] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 9 < 14
2022-05-18T04:38:34.1854867Z SKIPPED [1] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 9 > 8
2022-05-18T04:38:34.1855022Z SKIPPED [3] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 9 < 11
2022-05-18T04:38:34.1855166Z SKIPPED [1] test/onnx/test_pytorch_common.py:112: Unsupported opset_version: 9 < 11
2022-05-18T04:38:34.1855318Z SKIPPED [2] test/onnx/test_models.py:106: This model takes too much memory
2022-05-18T04:38:34.1855539Z SKIPPED [2] test/onnx/test_models.py:126: This model takes too much memory
2022-05-18T04:38:34.1855688Z SKIPPED [2] test/onnx/test_models.py:132: This model takes too much memory
2022-05-18T04:38:34.1855835Z SKIPPED [2] test/onnx/test_models.py:138: This model takes too much memory
2022-05-18T04:38:34.1855979Z SKIPPED [2] test/onnx/test_models.py:144: This model takes too much memory
2022-05-18T04:38:34.1856121Z SKIPPED [7] test/onnx/test_utility_funs.py:1528: CUDA is not available
2022-05-18T04:38:34.1856285Z SKIPPED [4] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 10 < 15
2022-05-18T04:38:34.1856429Z SKIPPED [8] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 10 < 11
2022-05-18T04:38:34.1856587Z SKIPPED [4] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 11 < 15
2022-05-18T04:38:34.1856745Z SKIPPED [1] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 11 > 10
2022-05-18T04:38:34.1856942Z SKIPPED [4] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 12 < 15
2022-05-18T04:38:34.1857103Z SKIPPED [1] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 12 > 10
2022-05-18T04:38:34.1857259Z SKIPPED [4] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 13 < 15
2022-05-18T04:38:34.1857414Z SKIPPED [1] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 13 > 10
2022-05-18T04:38:34.1857568Z SKIPPED [4] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 14 < 15
2022-05-18T04:38:34.1857708Z SKIPPED [1] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 14 > 10
2022-05-18T04:38:34.1857877Z SKIPPED [1] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 15 > 10
2022-05-18T04:38:34.1858050Z SKIPPED [1800] test/onnx/test_pytorch_common.py:112: Disabled due to onnx optimizer deprecation
2022-05-18T04:38:34.1858253Z SKIPPED [9] test/onnx/test_pytorch_onnx_caffe2.py:1088: C2 and PyTorch have small difference in padding implementation
2022-05-18T04:38:34.1858435Z SKIPPED [9] test/onnx/test_pytorch_onnx_caffe2.py:624: CUDA is not available
2022-05-18T04:38:34.1858606Z SKIPPED [9] test/onnx/test_pytorch_onnx_caffe2.py:652: model on net has cuda in it, awaiting fix
2022-05-18T04:38:34.1858781Z SKIPPED [9] test/onnx/test_pytorch_onnx_caffe2.py:2917: Disabled due to onnx optimizer deprecation
2022-05-18T04:38:34.1859022Z SKIPPED [9] test/onnx/test_pytorch_onnx_caffe2.py:665: doesn't match exactly...
2022-05-18T04:38:34.1859197Z SKIPPED [9] test/onnx/test_pytorch_onnx_caffe2.py:2904: Disabled due to onnx optimizer deprecation
2022-05-18T04:38:34.1859385Z SKIPPED [9] test/onnx/test_pytorch_common.py:112: https://github.com/pytorch/pytorch/issues/10984
2022-05-18T04:38:34.1859543Z SKIPPED [9] test/onnx/test_pytorch_common.py:53: Disabled due to onnx optimizer deprecation
2022-05-18T04:38:34.1859715Z SKIPPED [9] test/onnx/test_pytorch_onnx_caffe2.py:1642: Disabled due to onnx optimizer deprecation
2022-05-18T04:38:34.1859875Z SKIPPED [4] test/onnx/test_pytorch_onnx_caffe2.py:69: Skip debug embed_params test
2022-05-18T04:38:34.1860052Z SKIPPED [9] test/onnx/test_pytorch_onnx_caffe2.py:586: Disabled due to onnx optimizer deprecation
2022-05-18T04:38:34.1860212Z SKIPPED [9] test/onnx/test_pytorch_onnx_caffe2.py:699: This model takes too much memory
2022-05-18T04:38:34.1860360Z SKIPPED [9] test/onnx/test_pytorch_onnx_caffe2.py:714: CUDA is not available
2022-05-18T04:38:34.1860518Z SKIPPED [9] test/onnx/test_pytorch_onnx_caffe2.py:731: This model takes too much memory
2022-05-18T04:38:34.1860677Z SKIPPED [9] test/onnx/test_pytorch_onnx_caffe2.py:738: disable to run tests faster...
2022-05-18T04:38:34.1860822Z SKIPPED [9] test/onnx/test_pytorch_onnx_caffe2.py:742: disable to run tests faster...
2022-05-18T04:38:34.1860978Z SKIPPED [9] test/onnx/test_pytorch_onnx_caffe2.py:749: disable to run tests faster...
2022-05-18T04:38:34.1861135Z SKIPPED [25] test/onnx/test_pytorch_onnx_caffe2.py:60: Skip embed_params verify test
2022-05-18T04:38:34.1861467Z SKIPPED [2] ../../../../opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:1081: Not compatible with Caffe2
2022-05-18T04:38:34.1861475Z 
2022-05-18T04:38:34.1861552Z Results (1987.44s):
2022-05-18T04:38:34.1973803Z     2834 passed
2022-05-18T04:38:34.1995972Z     3512 skipped
2022-05-18T04:38:35.9351698Z + [[ 1 == \2 ]]
2022-05-18T04:38:35.9352279Z + '[' -d .coverage ']'
2022-05-18T04:38:35.9529963Z ##[group]Run pytorch/pytorch/.github/actions/get-workflow-job-id@master
2022-05-18T04:38:35.9530234Z with:
2022-05-18T04:38:35.9530650Z   github-token: ***
2022-05-18T04:38:35.9530824Z env:
2022-05-18T04:38:35.9530985Z   IN_CI: 1
2022-05-18T04:38:35.9531137Z   IS_GHA: 1
2022-05-18T04:38:35.9531325Z   GIT_DEFAULT_BRANCH: master
2022-05-18T04:38:35.9531518Z ##[endgroup]
2022-05-18T04:38:35.9576145Z ##[group]Run nick-fields/retry@71062288b76e2b6214ebde0e673ce0de1755740a
2022-05-18T04:38:35.9576491Z with:
2022-05-18T04:38:35.9576661Z   shell: bash
2022-05-18T04:38:35.9576834Z   timeout_minutes: 10
2022-05-18T04:38:35.9577028Z   max_attempts: 5
2022-05-18T04:38:35.9577221Z   retry_wait_seconds: 30
2022-05-18T04:38:35.9577611Z   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}"

2022-05-18T04:38:35.9578062Z   polling_interval_seconds: 1
2022-05-18T04:38:35.9578274Z   warning_on_retry: true
2022-05-18T04:38:35.9578458Z   continue_on_error: false
2022-05-18T04:38:35.9578641Z env:
2022-05-18T04:38:35.9578806Z   IN_CI: 1
2022-05-18T04:38:35.9578959Z   IS_GHA: 1
2022-05-18T04:38:35.9579146Z   GIT_DEFAULT_BRANCH: master
2022-05-18T04:38:35.9579463Z   GITHUB_TOKEN: ***
2022-05-18T04:38:35.9579630Z ##[endgroup]
2022-05-18T04:38:36.2577688Z 
2022-05-18T04:38:36.2637926Z + python3 -m pip install requests==2.26.0
2022-05-18T04:38:37.0592917Z Defaulting to user installation because normal site-packages is not writeable
2022-05-18T04:38:37.0881803Z Requirement already satisfied: requests==2.26.0 in /home/ec2-user/.local/lib/python3.7/site-packages (2.26.0)
2022-05-18T04:38:37.1021025Z 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)
2022-05-18T04:38:37.1037564Z 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)
2022-05-18T04:38:37.1062799Z 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)
2022-05-18T04:38:37.1224336Z 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)
2022-05-18T04:38:37.2498214Z ++ python3 .github/scripts/get_workflow_job_id.py 2342799944 i-0d30b4ea7657016cf
2022-05-18T04:38:39.5408495Z + GHA_WORKFLOW_JOB_ID=6482532181
2022-05-18T04:38:39.5409037Z + echo '::set-output name=job-id::6482532181'
2022-05-18T04:38:40.2671487Z Command completed after 1 attempt(s).
2022-05-18T04:38:40.2671739Z 
2022-05-18T04:38:40.2842757Z Prepare all required actions
2022-05-18T04:38:40.2843304Z Getting action download info
2022-05-18T04:38:40.4390592Z Download action repository 'actions/upload-artifact@v2' (SHA:82c141cc518b40d92cc801eee768e7aafc9c2fa2)
2022-05-18T04:38:40.6395985Z ##[group]Run ./.github/actions/upload-test-artifacts
2022-05-18T04:38:40.6396209Z with:
2022-05-18T04:38:40.6396721Z   file-suffix: test-default-1-2-linux.2xlarge_6482532181
2022-05-18T04:38:40.6396952Z env:
2022-05-18T04:38:40.6397100Z   IN_CI: 1
2022-05-18T04:38:40.6397270Z   IS_GHA: 1
2022-05-18T04:38:40.6397461Z   GIT_DEFAULT_BRANCH: master
2022-05-18T04:38:40.6397641Z ##[endgroup]
2022-05-18T04:38:40.6422958Z ##[group]Run # Remove any previous test jsons if they exist
2022-05-18T04:38:40.6423268Z # Remove any previous test jsons if they exist
2022-05-18T04:38:40.6423515Z rm -f test-jsons-*.zip
2022-05-18T04:38:40.6423760Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test -i '*.json'
2022-05-18T04:38:40.6435173Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T04:38:40.6435405Z env:
2022-05-18T04:38:40.6435559Z   IN_CI: 1
2022-05-18T04:38:40.6435728Z   IS_GHA: 1
2022-05-18T04:38:40.6435918Z   GIT_DEFAULT_BRANCH: master
2022-05-18T04:38:40.6436162Z   FILE_SUFFIX: test-default-1-2-linux.2xlarge_6482532181
2022-05-18T04:38:40.6436399Z ##[endgroup]
2022-05-18T04:38:40.7930710Z   adding: test/allowlist_for_publicAPI.json (deflated 82%)
2022-05-18T04:38:40.7970675Z   adding: test/benchmark_utils/callgrind_artifacts.json (deflated 92%)
2022-05-18T04:38:40.7990329Z ##[group]Run # Remove any previous test reports if they exist
2022-05-18T04:38:40.7990853Z # Remove any previous test reports if they exist
2022-05-18T04:38:40.7991104Z rm -f test-reports-*.zip
2022-05-18T04:38:40.7991436Z zip -r "test-reports-${FILE_SUFFIX}.zip" test -i '*.xml'
2022-05-18T04:38:40.8002426Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T04:38:40.8002656Z env:
2022-05-18T04:38:40.8002814Z   IN_CI: 1
2022-05-18T04:38:40.8003259Z   IS_GHA: 1
2022-05-18T04:38:40.8003453Z   GIT_DEFAULT_BRANCH: master
2022-05-18T04:38:40.8003699Z   FILE_SUFFIX: test-default-1-2-linux.2xlarge_6482532181
2022-05-18T04:38:40.8003937Z ##[endgroup]
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2022-05-18T04:38:40.9282505Z   adding: test/test-reports/python/result.xml (deflated 98%)
2022-05-18T04:38:40.9307263Z   adding: test/coverage.xml (deflated 93%)
2022-05-18T04:38:40.9361847Z ##[group]Run seemethere/upload-artifact-s3@v4
2022-05-18T04:38:40.9362207Z with:
2022-05-18T04:38:40.9362509Z   retention-days: 14
2022-05-18T04:38:40.9362853Z   if-no-files-found: warn
2022-05-18T04:38:40.9363363Z   path: test-jsons-*.zip
2022-05-18T04:38:40.9363704Z   name: artifact
2022-05-18T04:38:40.9364029Z   s3-bucket: gha-artifacts
2022-05-18T04:38:40.9364367Z   region: us-east-1
2022-05-18T04:38:40.9364818Z env:
2022-05-18T04:38:40.9365086Z   IN_CI: 1
2022-05-18T04:38:40.9365363Z   IS_GHA: 1
2022-05-18T04:38:40.9365695Z   GIT_DEFAULT_BRANCH: master
2022-05-18T04:38:40.9366027Z ##[endgroup]
2022-05-18T04:38:41.3417110Z With the provided path, there will be 1 file uploaded
2022-05-18T04:38:41.3417516Z Uploading to s3 prefix: pytorch/pytorch/2342799944/1/artifact
2022-05-18T04:38:41.3464996Z Starting upload of test-jsons-test-default-1-2-linux.2xlarge_6482532181.zip
2022-05-18T04:38:41.4999630Z Finished upload of test-jsons-test-default-1-2-linux.2xlarge_6482532181.zip
2022-05-18T04:38:41.5129233Z ##[group]Run seemethere/upload-artifact-s3@v4
2022-05-18T04:38:41.5129462Z with:
2022-05-18T04:38:41.5129631Z   retention-days: 14
2022-05-18T04:38:41.5129846Z   if-no-files-found: error
2022-05-18T04:38:41.5130072Z   path: test-reports-*.zip
2022-05-18T04:38:41.5130259Z   name: artifact
2022-05-18T04:38:41.5130456Z   s3-bucket: gha-artifacts
2022-05-18T04:38:41.5130658Z   region: us-east-1
2022-05-18T04:38:41.5130832Z env:
2022-05-18T04:38:41.5130993Z   IN_CI: 1
2022-05-18T04:38:41.5131160Z   IS_GHA: 1
2022-05-18T04:38:41.5131336Z   GIT_DEFAULT_BRANCH: master
2022-05-18T04:38:41.5131533Z ##[endgroup]
2022-05-18T04:38:41.8545039Z With the provided path, there will be 1 file uploaded
2022-05-18T04:38:41.8545558Z Uploading to s3 prefix: pytorch/pytorch/2342799944/1/artifact
2022-05-18T04:38:41.8553767Z Starting upload of test-reports-test-default-1-2-linux.2xlarge_6482532181.zip
2022-05-18T04:38:42.0432156Z Finished upload of test-reports-test-default-1-2-linux.2xlarge_6482532181.zip
2022-05-18T04:38:42.0567098Z ##[group]Run set -x
2022-05-18T04:38:42.0567301Z set -x
2022-05-18T04:38:42.0567536Z python3 -m pip install -r requirements.txt
2022-05-18T04:38:42.0567805Z python3 -m pip install boto3==1.19.12
2022-05-18T04:38:42.0568121Z python3 -m tools.stats.print_test_stats --upload-to-s3 --compare-with-s3 test
2022-05-18T04:38:42.0579217Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T04:38:42.0579470Z env:
2022-05-18T04:38:42.0579639Z   IN_CI: 1
2022-05-18T04:38:42.0579797Z   IS_GHA: 1
2022-05-18T04:38:42.0579991Z   GIT_DEFAULT_BRANCH: master
2022-05-18T04:38:42.0580214Z   AWS_DEFAULT_REGION: us-east-1
2022-05-18T04:38:42.0580405Z   BRANCH: master
2022-05-18T04:38:42.0580657Z   JOB_BASE_NAME: linux-xenial-py3.7-clang7-onnx-test
2022-05-18T04:38:42.0580906Z   TEST_CONFIG: default
2022-05-18T04:38:42.0581082Z   SHARD_NUMBER: 1
2022-05-18T04:38:42.0581324Z   BUILD_ENVIRONMENT: linux-xenial-py3.7-clang7-onnx
2022-05-18T04:38:42.0581602Z   PR_NUMBER: 
2022-05-18T04:38:42.0581809Z   SHA1: 3b2375291aab7b48442f2e6fb1ef66cebc761e24
2022-05-18T04:38:42.0582020Z   TAG: 
2022-05-18T04:38:42.0582200Z   WORKFLOW_ID: 2342799944
2022-05-18T04:38:42.0582531Z   GITHUB_TOKEN: ***
2022-05-18T04:38:42.0582739Z   GHA_WORKFLOW_JOB_ID: 6482532181
2022-05-18T04:38:42.0582939Z ##[endgroup]
2022-05-18T04:38:42.0607914Z + python3 -m pip install -r requirements.txt
2022-05-18T04:38:42.2824649Z Defaulting to user installation because normal site-packages is not writeable
2022-05-18T04:38:42.3112283Z Ignoring dataclasses: markers 'python_version < "3.7"' don't match your environment
2022-05-18T04:38:42.3114183Z Requirement already satisfied: astunparse in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 2)) (1.6.3)
2022-05-18T04:38:42.3141736Z Requirement already satisfied: expecttest in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 3)) (0.1.3)
2022-05-18T04:38:42.3149768Z Requirement already satisfied: future in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 4)) (0.18.2)
2022-05-18T04:38:42.3157829Z Requirement already satisfied: numpy in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 5)) (1.21.6)
2022-05-18T04:38:42.3166061Z Requirement already satisfied: psutil in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 6)) (5.9.0)
2022-05-18T04:38:42.3268335Z Requirement already satisfied: pyyaml in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 7)) (6.0)
2022-05-18T04:38:42.3275797Z Requirement already satisfied: requests in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 8)) (2.26.0)
2022-05-18T04:38:42.3394954Z Requirement already satisfied: setuptools in /usr/lib/python3.7/site-packages (from -r requirements.txt (line 9)) (49.1.3)
2022-05-18T04:38:42.3571705Z Requirement already satisfied: six in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 10)) (1.16.0)
2022-05-18T04:38:42.3580727Z Requirement already satisfied: types-dataclasses in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 11)) (0.6.5)
2022-05-18T04:38:42.3586017Z Requirement already satisfied: typing_extensions in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 12)) (4.2.0)
2022-05-18T04:38:42.3596072Z 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)
2022-05-18T04:38:42.3620324Z 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)
2022-05-18T04:38:42.3629352Z 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)
2022-05-18T04:38:42.3897145Z 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)
2022-05-18T04:38:42.3916626Z 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)
2022-05-18T04:38:42.4570409Z + python3 -m pip install boto3==1.19.12
2022-05-18T04:38:42.6767126Z Defaulting to user installation because normal site-packages is not writeable
2022-05-18T04:38:42.6959528Z Requirement already satisfied: boto3==1.19.12 in /home/ec2-user/.local/lib/python3.7/site-packages (1.19.12)
2022-05-18T04:38:42.7011109Z 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)
2022-05-18T04:38:42.7037596Z 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)
2022-05-18T04:38:42.7079762Z 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)
2022-05-18T04:38:42.7092177Z 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)
2022-05-18T04:38:42.7250617Z 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)
2022-05-18T04:38:42.7271124Z 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)
2022-05-18T04:38:42.8297010Z + python3 -m tools.stats.print_test_stats --upload-to-s3 --compare-with-s3 test
2022-05-18T04:38:50.3651567Z [scribe] Scribe access token not provided, sending report via boto3...
2022-05-18T04:38:50.3651922Z 
2022-05-18T04:38:50.3652394Z ----- Historic stats comparison result ------
2022-05-18T04:38:50.3652681Z 
2022-05-18T04:38:50.3653007Z     job: linux-xenial-py3.7-clang7-onnx-test
2022-05-18T04:38:50.3653443Z     commit: 3b2375291aab7b48442f2e6fb1ef66cebc761e24
2022-05-18T04:38:50.3653602Z 
2022-05-18T04:38:50.3653761Z Commit graph (base is most recent master ancestor with at least one S3 report):
2022-05-18T04:38:50.3654209Z 
2022-05-18T04:38:50.3654284Z     : (master)
2022-05-18T04:38:50.3654441Z     |
2022-05-18T04:38:50.3654649Z     * 3b2375291a (HEAD)              total time   593.74s
2022-05-18T04:38:50.3654900Z     * 6e3391a7c3 (base)   1 report,  total time   605.58s
2022-05-18T04:38:50.3655138Z     * 48581d74ad          1 report,  total time   612.94s
2022-05-18T04:38:50.3655446Z     * c35bd8d423          0 reports
2022-05-18T04:38:50.3655686Z     * f6beda89c6          1 report,  total time   623.26s
2022-05-18T04:38:50.3655958Z     * ee080918df          1 report,  total time   611.92s
2022-05-18T04:38:50.3656188Z     * bbaefdf6b5          0 reports
2022-05-18T04:38:50.3656399Z     * 7c52f204e0          0 reports
2022-05-18T04:38:50.3656585Z     * e0451d8022          0 reports
2022-05-18T04:38:50.3656811Z     * 4e2f5507d0          1 report,  total time   609.19s
2022-05-18T04:38:50.3657061Z     * b64845eb18          1 report,  total time   631.30s
2022-05-18T04:38:50.3657265Z     |
2022-05-18T04:38:50.3657412Z     :
2022-05-18T04:38:50.3657516Z 
2022-05-18T04:38:50.3657640Z Removed  (across    0 suites)     0 tests, totaling     0.00s
2022-05-18T04:38:50.3657912Z Modified (across    0 suites)     0 tests, totaling     0.00s
2022-05-18T04:38:50.3658170Z Added    (across    0 suites)     0 tests, totaling     0.00s
2022-05-18T04:38:50.4382132Z Prepare all required actions
2022-05-18T04:38:50.4400166Z ##[group]Run ./.github/actions/teardown-linux
2022-05-18T04:38:50.4400388Z with:
2022-05-18T04:38:50.4400537Z env:
2022-05-18T04:38:50.4400706Z   IN_CI: 1
2022-05-18T04:38:50.4400877Z   IS_GHA: 1
2022-05-18T04:38:50.4401057Z   GIT_DEFAULT_BRANCH: master
2022-05-18T04:38:50.4401558Z ##[endgroup]
2022-05-18T04:38:50.4415779Z ##[group]Run .github/scripts/wait_for_ssh_to_drain.sh
2022-05-18T04:38:50.4416042Z .github/scripts/wait_for_ssh_to_drain.sh
2022-05-18T04:38:50.4427365Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T04:38:50.4427605Z env:
2022-05-18T04:38:50.4427760Z   IN_CI: 1
2022-05-18T04:38:50.4427938Z   IS_GHA: 1
2022-05-18T04:38:50.4428127Z   GIT_DEFAULT_BRANCH: master
2022-05-18T04:38:50.4428313Z ##[endgroup]
2022-05-18T04:38:50.4510627Z Holding runner for 2 hours until all ssh sessions have logged out
2022-05-18T04:38:50.4611523Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2022-05-18T04:38:50.4611862Z # ignore expansion of "docker ps -q" since it could be empty
2022-05-18T04:38:50.4612131Z # shellcheck disable=SC2046
2022-05-18T04:38:50.4612370Z docker stop $(docker ps -q) || true
2022-05-18T04:38:50.4612614Z # Prune all of the docker images
2022-05-18T04:38:50.4612829Z docker system prune -af
2022-05-18T04:38:50.4623806Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T04:38:50.4624037Z env:
2022-05-18T04:38:50.4624189Z   IN_CI: 1
2022-05-18T04:38:50.4624365Z   IS_GHA: 1
2022-05-18T04:38:50.4624554Z   GIT_DEFAULT_BRANCH: master
2022-05-18T04:38:50.4624737Z ##[endgroup]
2022-05-18T04:38:50.8881291Z c00b01469bec
2022-05-18T04:38:52.8269703Z Deleted Containers:
2022-05-18T04:38:52.8270196Z c00b01469bec4e045b3995a93e489a3aabd6021890be10dc7b44b4967fde19db
2022-05-18T04:38:52.8270398Z 
2022-05-18T04:38:58.5222193Z Deleted Images:
2022-05-18T04:38:58.5222984Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3-clang7-onnx:6deab82db6a72ca54cd3e3322ee4f13864536734
2022-05-18T04:38:58.5223728Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3-clang7-onnx@sha256:f0635c9b511406df7a81da39cad50a8f06640f1c0550e4f7a93071523ad2effb
2022-05-18T04:38:58.5224312Z deleted: sha256:d6e0ba1c92339563ab1ab7b3b6661bbfb0a9a11250de4dd04929f5ed9b5d87ff
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2022-05-18T04:38:58.5327458Z Post job cleanup.
2022-05-18T04:38:58.5392363Z Post job cleanup.
2022-05-18T04:38:58.9652250Z [command]/usr/bin/git version
2022-05-18T04:38:58.9703432Z git version 2.32.0
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2022-05-18T04:38:58.9805038Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-05-18T04:38:58.9857905Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
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2022-05-18T04:38:59.6140231Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
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